The study, published in the Journal of General Internal Medicine by Rachel Cox, MD, and colleagues, was built around a deceptively simple question: if you teach the people who give and receive feedback what high-quality feedback actually looks like, does the feedback itself get better? To find out, the team implemented targeted educational interventions in 2022 and then compared the narrative assessments written before and after those interventions using a validated scoring tool. The results showed a statistically significant improvement in feedback quality, with mean scores rising from 2.48 to 3.37 on a 12-point scale, a change the authors describe as meaningful even though it also reveals how much room remains for growth.

The technical core of the study lies in how feedback quality was measured. The researchers collected narrative assessments and written faculty-to-resident feedback from resident feedback forms across two periods: the 2021 to 2022 academic year, before the intervention, and the 2022 to 2024 academic years, after it. All assessments were de-identified and then evaluated by two independent scorers using the Narrative Evaluation Quality Instrument, or NEQI, a tool developed to assess the assessor rather than the trainee. The NEQI quantitatively scores feedback across three categories: the performance domains commented on, the specificity of the comments, and the usefulness of the feedback to the trainee. Each assessment receives a total score ranging from 0 to 12, with higher numbers indicating higher quality. In total, 1206 narrative assessments met the inclusion criteria, 316 from the pre-intervention period and 890 from the post-intervention period, giving the comparison substantial statistical power.

The numbers tell a consistent story. The mean NEQI score increased from 2.48 before the educational workshops to 3.37 afterward, an improvement that reached statistical significance at P less than 0.001. The effect size was 0.5, which the authors characterize as moderate, suggesting the intervention is impactful rather than marginal. Perhaps most striking is the intraclass correlation coefficient of 0.92, an indicator of excellent interrater reliability. In practical terms, the two independent scorers agreed closely on how to rate both the pre- and post-intervention datasets, which strengthens confidence that the observed rise in scores reflects genuine improvement in the feedback itself rather than inconsistency in how it was judged.

The intervention itself was deliberately lean. Faculty members participated in biannual 90-minute interactive workshops covering the core principles of high-quality feedback, the common barriers to delivering it, and techniques for producing action-oriented comments. Residents, meanwhile, attended a single 60-minute workshop focused on deliberate practice, goal creation, and building expertise through feedback, with an emphasis on learners taking ownership of their own learning. Neither arm involved new technology, additional staffing, or sweeping curricular reform. The authors argue that this cost-effectiveness and relatively straightforward integration make the approach a scalable solution for other residency programs across various specialties, even though implementing such programs requires time and commitment from program leadership.

What makes the improvement technically interesting is that it emerged from education aimed at both sides of the feedback exchange. Prior research cited in the study has described the highest quality narrative feedback as specific, actionable, and constructive, and has emphasized that feedback should incorporate and be targeted to learner goals. The faculty workshops aligned with those best-practice components, teaching clinicians how to deliver effective comments. The resident workshop tackled the other half of the equation, encouraging trainees to seek feedback deliberately, set explicit goals, and treat feedback as raw material for deliberate practice. The literature has long noted that residents often describe seeking feedback as burdensome and anxiety producing, even though residents and faculty tend to agree on what constitutes effective feedback. The authors suggest their intervention may reduce those perceived barriers to engagement, bridging the persistent gap between intention and execution.

The study’s framing within competency-based medical education gives the findings broader significance. Under the ACGME milestones framework, feedback is not an optional courtesy but a mandated mechanism for achieving clinical competence and progressing through training. Inconsistent feedback quality can potentially impede residents’ progression and development toward clinical independence, which is why addressing the gap in feedback quality is framed as crucial to ensuring residents reach their milestones on schedule. By demonstrating that structured education can enhance feedback processes within this framework, the study provides program directors with an evidence-based lever they can pull without waiting for system-wide reform of how feedback is standardized across graduate medical education.

Even so, the raw scores carry a sobering message. The authors acknowledge that the average scores of both the pre-intervention and post-intervention groups are low overall on the NEQI scale, given that the maximum score, representing the highest quality feedback, is 12. A rise from 2.48 to 3.37 is statistically robust and practically relevant, but it also means that even after targeted education, the typical narrative assessment in this program still scored far below what the instrument defines as excellent. The authors point to prior descriptions of best practices, including specific, actionable, and constructive comments targeted to learner goals, as the direction in which feedback should continue to move, and they suggest that providing targeted education on how to deliver effective feedback could improve quality further, given the effect size observed here.

The study’s limitations are candidly stated. It examined only a single residency program and only a single year of residents across two specialties, which constrains how far the results can be generalized. The authors also note that the datasets generated and analyzed during the study are available from the corresponding author on reasonable request, and that the authors received no funding related to the manuscript and declare no conflict of interest. The research team, spanning Wright Patterson Medical Center, Wright State University Boonshoft School of Medicine, and Uniformed Services University in Bethesda, Maryland, included Kelsey Wilson, DO, Marc Gutierrez, MD, John Arthur, DO, Bryan Harper, DO, and Kathryn M. Burtson, MD, with contributions ranging from conception and design to analysis, interpretation, and critical revision.

For the wider world of medical education, the takeaway is both encouraging and demanding. The study demonstrates that targeted education on feedback significantly improves the quality of narrative feedback in an internal medicine residency program, making feedback more focused, specific, and valuable, and thereby contributing to optimal resident progression through training. A few workshops, delivered consistently to faculty and residents alike, shifted the measurable quality of more than a thousand written assessments in a statistically significant way. But the same data show that feedback across graduate medical education remains, by validated standards, far from excellent. The intervention offers a scalable starting point; the distance to the top of the NEQI scale defines the work that remains.

Subject of Research: Impact of Faculty and Resident Education on the Quality of Narrative Feedback in Residency: An Interventional Study

Article Title: Impact of Faculty and Resident Education on the Quality of Narrative Feedback in Residency: An Interventional Study

Article References: Cox, R., Wilson, K., Gutierrez, M., Arthur, J., Harper, B., & Burtson, K. M. (2026). Impact of Faculty and Resident Education on the Quality of Narrative Feedback in Residency: An Interventional Study. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10447-x

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10447-x

Keywords: Impact, Faculty, Resident, Education, Quality, Narrative, Feedback, Residency, Interventional, scientific research

The research, led by Dr. Jacqueline F. Birnbaum of the University of Washington School of Medicine with colleagues from McGovern Medical School at UTHealth Houston, Emory University, and the UTHealth Institute for Clinical Research and Learning Health Care, examined an intervention implemented in an academic internal medicine continuity clinic during the 2023–2024 academic year. Thirty-two residents participated in the multimethod evaluation, which combined a retrospective pre-post survey of educational outcomes with a chart review of matched resident cohorts before and after implementation. The findings offer a rare, integrated look at how educational objectives and clinical systems can be aligned to improve a domain that has often been treated as an afterthought in graduate medical education.

Inter-visit care encompasses two main activities: the management of test results and asynchronous communication with patients through electronic health record inboxes. Prior research has documented that physicians now split their time roughly evenly between seeing patients and what researchers call desktop medicine, and that electronic health record workload has been steadily increasing among academic primary care physicians. Studies have also linked excessive inbox activity to burnout and lower patient satisfaction, while a systematic review found that failure to follow up ambulatory test results remains a persistent and dangerous problem across care settings. Despite these stakes, a national survey of internal medicine program directors revealed that inbox management is inconsistently taught and supervised in residency programs.

Previous attempts to address this gap have generally tackled either the educational side or the structural side of the problem in isolation. Curricular interventions have taught residents about inter-visit clinical reasoning, but without changing the underlying systems that determine who actually sees which results and when. Structural interventions, such as cross-coverage models, have improved timeliness of result management, but without explicitly building residents’ skills or professional identity. The new study was designed to test whether an integrated approach, addressing both dimensions simultaneously, could produce improvements that neither could achieve alone.

The intervention had two tightly connected components. The first was a firm-based inbox coverage system, modeled on the firm system long used in inpatient medicine, which organized residents into stable teams with shared faculty oversight. This structure ensured continuity of test result follow-up and guaranteed that every result had a designated, supervised owner, even when the primary resident was off service or unavailable. The second component was a longitudinal inter-visit care curriculum delivered across the academic year, addressing electronic health record efficiency, clinical reasoning in inter-visit decision-making, and professional responsibility. Crucially, the educational sessions were aligned with clinical supervision through shared faculty oversight and dedicated inbox office hours, so that what residents learned in the classroom was reinforced in the very systems where they practiced.

The results were dramatic. Clinic-wide, the proportion of test results communicated to patients increased from 57 percent to 76 percent, a statistically significant improvement. Even more striking, the mean time to communication dropped from 18.7 days to 8.5 days, meaning patients learned about their results more than twice as fast on average. These clinic-level gains represent a substantial improvement in a domain where delays can mean missed diagnoses, delayed treatment, and preventable harm. The improvements were achieved not by adding more faculty or extending clinic hours, but by reorganizing existing resources and aligning them with explicit educational goals.

At the resident level, the picture was more nuanced. The researchers analyzed changes across baseline communication tertiles and training levels, finding variable patterns of improvement. Some residents, particularly those starting from lower baseline performance, showed the largest gains, while others plateaued or improved more modestly. This variability is itself informative, suggesting that a one-size-fits-all approach may not fully capture how different learners respond to structural change, and that individualized coaching or differentiated supervision may be needed to close remaining gaps. The authors note that these patterns support treating inter-visit care as a multidimensional clinical domain rather than a single skill.

The educational outcomes were equally encouraging. Residents’ self-reported confidence in inter-visit care skills improved across all measured domains, including electronic health record efficiency, clinical reasoning about asynchronous results, and professional responsibility for between-visit tasks. This subjective improvement, paired with objective clinical gains, suggests that the intervention succeeded on both fronts simultaneously. The alignment between educational objectives and clinical systems appears to have been key: residents were not merely taught about inter-visit care in the abstract, but were embedded in a structure where the right thing to do was also the easy thing to do, with faculty supervision reinforcing good habits in real time.

The study’s implications extend well beyond a single residency clinic. As ambulatory practice becomes increasingly digital, the skills required for effective inter-visit care, including efficient inbox management, sound clinical judgment about asynchronous information, and a sense of professional ownership over results, will only grow in importance. The Accreditation Council for Graduate Medical Education’s Internal Medicine Milestones 2.0 already expects residents to demonstrate competence in systems-based practice and care coordination, yet many programs lack the structures to support this learning. The new findings suggest that residency programs should treat inter-visit care as a core clinical domain that benefits from deliberate alignment between what is taught and how care is organized, rather than as a task to be delegated or ignored.

For patients, the message is perhaps the most compelling of all. Faster and more complete communication of test results is not an abstract educational goal; it is a concrete improvement in the experience of care, reducing anxiety, enabling earlier treatment decisions, and potentially preventing serious harm. The study demonstrates that when teaching hospitals invest in the systems and skills that govern the invisible half of medicine, everyone benefits: residents learn more effectively, faculty supervise more meaningfully, and patients receive the timely answers they deserve. As health systems everywhere grapple with electronic health record burden and the challenge of training the next generation of physicians, this integrated model offers a practical, evidence-based blueprint for turning the inbox from a source of burnout into a site of learning and high-quality care.

Subject of Research: A Structural and Educational Intervention to Improve Inter-Visit Care in an Internal Medicine Residency Clinic: A Multimethod Evaluation

Article Title: A Structural and Educational Intervention to Improve Inter-Visit Care in an Internal Medicine Residency Clinic: A Multimethod Evaluation

Article References: Birnbaum, J. F., Urquidi, J., Chen, B., Bravo, R., Gandhi, P. B., & Swails, J. L. (2026). A Structural and Educational Intervention to Improve Inter-Visit Care in an Internal Medicine Residency Clinic: A Multimethod Evaluation. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10690-2

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10690-2

Keywords: Structural, Educational, Intervention, Improve, Inter-Visit, Care, Internal, Medicine, Residency, Clinic, Multimethod, Evaluation

The essay, written by Adrian Kalaw and Emily Harris of Harvard Medical School together with Karen Wood of the Center for Education at Atrius Health in Boston, appears in the journal’s Healing Arts section, a venue reserved for reflective and humanistic writing rather than empirical research. Its authors bring complementary perspectives: a medical student navigating the early stages of clinical immersion, and experienced educators who have watched generations of trainees pass through the same doors. The piece draws on that vantage point to explore how medical culture shapes the way young doctors say hello and goodbye.

At the heart of the essay is a simple observation with deep implications: medical training is structured around arrivals and departures. Students arrive on the first day of anatomy, on the first day of clerkships, on the first day of residency. They depart from classrooms, from wards, from the cities and institutions that shaped them. Each transition demands a renegotiation of identity, from observer to participant, from learner to teacher, from trainee to independent clinician. The authors suggest that medicine rarely pauses to acknowledge how disorienting these repeated thresholds can be.

The timing of these transitions is not incidental. The academic calendar of medicine concentrates change into predictable windows, most visibly the July turnover when interns begin and graduating residents leave. Studies of teaching hospitals have long noted seasonal variation in care processes around these handoffs, and institutions have developed structured sign-outs, supervision protocols, and orientation programs to manage the operational risks. What the essay adds is a different lens: the psychological and professional meaning of transition, not just its logistics. Arriving somewhere new, the authors imply, is not merely a change of location but a change of self-understanding.

For medical students, the first arrival that matters is often the anatomy laboratory, where the abstraction of textbooks gives way to the reality of the human body. Later arrivals follow in rapid succession: the first patient interview, the first overnight call, the first time a nurse or attending addresses a student as a future colleague rather than a visitor. Each of these moments quietly rewrites the trainee’s sense of who they are. The essay’s reflective stance invites readers to consider how much of professional identity is formed not in formal curricula but in these accumulated threshold experiences.

Departures carry their own weight. Leaving a clinical team mid-rotation means handing over patients one has come to know, often without closure on their outcomes. Graduating from residency means leaving the safety net of supervision, a transition widely recognized as one of the most stressful in a physician’s development. The authors’ framing suggests that medicine’s culture of relentless forward motion, in which trainees are always moving to the next rotation, the next service, the next stage, can leave little room to process what is being left behind. Unacknowledged departures, they suggest, may contribute to the emotional attrition that accompanies training.

The essay also speaks to the educators on the other side of these transitions. Faculty who teach in academic medical centers experience the same cycle from the opposite direction: every July brings new learners who must be oriented, assessed, and integrated into teams, and every June takes away colleagues-in-training who have become familiar and trusted. The authors, based at institutions that train large cohorts of students and residents, write from within this recurring rhythm. Their acknowledgment section thanks William C. Taylor, MD, for his encouragement and lifelong commitment to medical education, a detail that situates the essay within a tradition of mentorship and reflective teaching at Harvard Medical School and its affiliated teaching practices.

Why does this matter beyond the personal? Research on the therapeutic relationship, health communication, and care systems, the subject categories under which the journal indexes the piece, has repeatedly shown that continuity and relational trust affect patient outcomes. Transitions interrupt continuity. When trainees arrive and depart frequently, the relationships that anchor care are repeatedly rebuilt. A reflective literature that examines how trainees experience these thresholds may therefore connect to patient experience in ways that operational fixes alone cannot address. The essay’s contribution is to keep that connection visible.

The Healing Arts genre itself deserves note. Journals of general internal medicine have long reserved space for narrative, poetry, and essay alongside original research, on the premise that medicine is practiced by whole people whose experiences of meaning, loss, and belonging shape the care they deliver. Work in this tradition does not test hypotheses; it offers testimony and interpretation. Kalaw, Harris, and Wood’s essay joins a body of writing that treats the emotional architecture of medical training as a legitimate subject of professional attention, not a private matter to be set aside at the hospital door.

For readers outside medicine, the essay offers a window into a profession that is, in many respects, a sequence of arrivals and departures compressed into a decade. For those inside it, the piece is an invitation to slow down at the thresholds: to mark the leaving of a team as deliberately as the joining of one, and to recognize that the doctors patients meet are always in motion between who they were and who they are becoming. The full essay is available in the Journal of General Internal Medicine under the title Arrivals and Departures, published on 15 October 2026.

Subject of Research: Reflective essay on professional identity and transitions in medical training

Article Title: Arrivals and Departures

Article References: Kalaw, A., Harris, E., & Wood, K. (2026). Arrivals and Departures. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-026-10909-2

Image Credits: AI Generated

DOI: 10.1007/s11606-026-10909-2

Keywords: medical education, medical training transitions, professional identity, therapeutic relationship, health communication, primary care, general internal medicine, residency, medical students, reflective writing, mentorship, teaching hospitals

The study took the form of a cross-sectional, two-cohort survey conducted at German university hospitals. Rather than following a single group over time, the researchers captured a snapshot of two distinct points along the neurology training pipeline: medical students who had not yet committed to a specialty, and residents already working in neurology departments. This design allowed the team to compare how career motivations form before specialization with how they evolve once doctors are inside the specialty. Data were collected through structured questionnaires supplemented by open-ended questions, a mixed-methods approach that combines the statistical power of standardized items with the nuance of free-text responses. In total, 79 medical students and 56 neurology residents participated, corresponding to response rates of 44 percent among students and 32 percent among residents. The study was conducted in accordance with the Declaration of Helsinki, participation was anonymous, and no patient data were collected.

The central question the researchers posed was deceptively simple: what actually drives career and specialization decisions in neurology? The answer, drawn from both cohorts, converged on three dominant factors. The specialty itself, with its intellectual appeal and clinical fascination, ranked as the most important influence on career choices. Good teaching experiences came second, pointing to the decisive role that educators and structured learning play at every stage of medical training. Workplace conditions rounded out the top three, a finding that foreshadowed the study’s most troubling results. For students contemplating neurology as a future, and for residents already living that future, the intrinsic qualities of the field and the quality of instruction mattered more than external incentives.

Among medical students, the survey revealed high levels of career motivation. Students entering the pipeline were not drifting into neurology by default; they arrived with purpose and a positive orientation toward their professional futures. This is significant for workforce planning because it suggests that the recruitment side of the German neurology pipeline is not fundamentally broken. The raw material of the future workforce is motivated, engaged, and drawn to the specialty for reasons that are intrinsic rather than transactional. The specialty’s scientific richness, spanning stroke, epilepsy, neurodegenerative disease, neuroimmunology, and the rapidly advancing interface with neuroscience research, appears to exert a strong pull on the next generation of physicians.

The resident cohort told a more complicated story. On one hand, residents maintained high levels of engagement and demonstrated marked loyalty to neurology as a specialty. They had not soured on the field itself; their commitment to the discipline remained intact. On the other hand, the same residents reported severe structural deficits in their everyday work life and in their residency programs. This divergence, between affection for the specialty and frustration with its conditions, is the conceptual heart of the study and the source of its evocative title: enthusiasm and structural frustration coexisting in the same individuals at the same time.

This pattern matters because decades of organizational research show that engaged, loyal employees do not leave because they stop caring about their work. They leave because the structures around them make sustained caring unsustainable. Severe structural deficits in residency programs, which may encompass workload, supervision, curriculum organization, and the daily conditions of clinical practice, act as a slow drain on even the most committed trainees. The German health system already faces critical physician shortages in neurology, a specialty whose demographic relevance is only growing as populations age and the burden of stroke, dementia, and Parkinson’s disease rises. Losing trained neurologists not because they fall out of love with the brain but because the training environment fails them represents an avoidable loss that the health system can ill afford.

The methodological choices of the study deserve attention. By surveying two cohorts at a single point in time, the researchers could triangulate across the pipeline: students reveal what attracts people into neurology, while residents reveal what the specialty actually delivers once they arrive. The mixed-methods design strengthens the findings, because structured questionnaire items allow quantitative comparison between groups, while open-ended questions capture the texture of experience that rating scales miss. The response rates, 44 percent for students and 32 percent for residents, are typical for physician surveys, though the authors characterize the study as exploratory, meaning the findings are intended to generate hypotheses and inform interventions rather than to provide definitive population-level estimates. The study was conducted in a university hospital setting, which means the results speak most directly to academic neurology departments, though university hospitals train a substantial share of the specialty’s future workforce.

The practical implications are direct. Because the most important factors shaping career decisions are the specialty itself, teaching quality, and workplace conditions, interventions can be targeted with unusual precision. Strengthening structured teaching throughout residency protects the second pillar. Improving workplace conditions and residency program organization addresses the third, and the residents’ own reports of severe structural deficits provide a ready-made agenda for reform. The authors explicitly frame their results as evidence-based guidance: the deficits residents describe are concrete and, in principle, addressable through deliberate program design rather than vague exhortations to professionalism or resilience. For departments competing for scarce trainees, the message is that the specialty’s intrinsic appeal is already doing the recruitment work; retention now depends on whether the working environment matches the enthusiasm it inherits.

There is also a broader lesson for medical workforce research. Studies of physician shortages often focus on compensation or on aggregate headcounts, treating specialists as interchangeable units of labor. This study inverts that view by showing that the same individuals can be simultaneously the specialty’s strongest advocates and its sharpest critics. Loyalty to neurology survived despite the structural deficits residents reported, which means the emotional foundation of the workforce is intact even as its material foundation erodes. Policy responses that address only pay risk missing the point; what residents appear to need are training programs and workplaces worthy of their commitment. Conversely, the findings offer grounds for optimism: because the deficits are structural, they are modifiable, and because motivation is high, improvements are likely to yield returns quickly.

As Germany confronts a future in which neurological disease will claim an ever-larger share of the health burden, the question raised by this research is whether the country can convert the evident enthusiasm of its young neurologists into a stable, retained workforce. The study’s answer is conditional. The passion is there, the teaching infrastructure matters enormously, and the workplace conditions that currently frustrate residents are known, named, and within reach of institutional reform. What remains is the will to act on the evidence. For a specialty defined by its understanding of the nervous system, the prescription is unusually clear: protect the enthusiasm, repair the structure, and the pipeline may yet hold.

Subject of Research: Career decision-making and retention factors in German neurology training

Article Title: Enthusiasm and structural frustration? Insights from an exploratory cross-sectional two-cohort study into career decision-making and retention factors in German neurology

Article References: Prokop, G., Biesalski, A.-S., Krause, M., Rebmann, P. S., Piel, J. H. A., & Schmidt-Graf, F. (2026). Enthusiasm and structural frustration? Insights from an exploratory cross-sectional two-cohort study into career decision-making and retention factors in German neurology. BMC Medical Education, 26(1), Article 1586. https://doi.org/10.1186/s12909-026-10515-0

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10515-0

Keywords: neurology, medical education, residency, career decision-making, physician shortage, workforce retention, Germany, university hospitals, workplace conditions, survey study, medical students, mixed methods

The story begins with two pioneers. In 1960, Julius Jacobson reported the first microvascular anastomosis performed under an operating microscope, a technical breakthrough that made it possible to join blood vessels far too small for the naked eye. Four years later, Harry Buncke demonstrated the successful replantation of a rabbit ear using microminiature vascular anastomoses, a feat that electrified the surgical world and showed what the technique could ultimately achieve in patients. These milestones laid the groundwork for modern microsurgery, but they also established a training culture that would persist for decades: learning by doing, under the eye of a mentor, in the operating room itself.

That apprenticeship model had undeniable strengths. Trainees gained proficiency through repeated exposure and direct feedback, practicing vascular anastomoses on live animal models such as rats and rabbits with basic equipment like magnifying loupes and early operating microscopes. By the 1970s, microsurgery had gained traction in plastic surgery and neurosurgery, and institutions such as the University of California, San Francisco, under Buncke’s leadership, became key centers of education. Yet access remained strikingly limited. By the early 1980s, fewer than ten dedicated microsurgical training centers existed worldwide, most of them concentrated in North America and Europe. High equipment costs, scarce mentors, and limited access to models meant that the steep learning curve of microsurgery was climbed by only a privileged few.

The forces that shattered this old order were administrative as much as scientific. In 2003, the Accreditation Council for Graduate Medical Education formalized reduced resident duty hours in the United States, sharply curtailing the time trainees could spend in the operating room. At the same time, heightened patient safety standards made it less acceptable for trainees to learn fundamental skills on live patients. Educators were compelled to find alternatives, and the result was a wave of structured courses, simulation laboratories, and formal curricula designed to build competency before a trainee ever touched a patient. Programs such as the Columbia University Microsurgical Training Course and the Mayo Clinic Microsurgery Course combined didactic lectures with hands-on practice to establish baseline skills outside the clinical environment.

The evidence that such training works has accumulated steadily. A systematic review by Ghanem and colleagues found that low-fidelity laboratory models effectively improve microsurgical technical skills, and that these skills transfer to higher-fidelity models and live tissue performance. Perhaps more striking is the Ludwigshafen concept from Germany, where Boecker and colleagues showed that a structured microsurgical curriculum supported by a 24-hour accessible training facility significantly reduced complication rates and operative times in lower extremity free flap surgeries performed by residents. Mentorship still matters within these systems: Paladino and colleagues compared microsurgery courses with and without dedicated expert instruction and found that students guided by experts achieved superior improvements in patency rates, anastomotic quality, and procedural timing.

At the high-fidelity end of the spectrum sit wet labs, long regarded as the gold standard for realistic practice. Trainees anastomose rat femoral arteries, gaining live-tissue handling experience with genuine physiological feedback under the supervision of experienced microsurgeons. But live animal models raise ethical and logistical concerns, and recent research has shown these can be addressed without sacrificing quality. In a randomized noninferiority trial, Esanu and colleagues demonstrated that spacing live rat sessions every eight weeks instead of every four or six, while supplementing with lower-fidelity models, did not compromise skill acquisition. Lahiri and colleagues similarly found that cutting the number of live rats per participant from five to as few as three, while increasing time on synthetic and ex vivo models, achieved comparable patency rates and procedural times. Institutions have even developed portable wet lab setups so visiting trainees outside major academic centers can access these experiences.

The most viral chapter of this evolution, however, belongs to the digital revolution. Virtual reality platforms offer immersive, risk-free environments where trainees can repeat complex tasks such as microvascular anastomosis endlessly, receiving real-time feedback and performance metrics without any biological material. While microsurgery-specific trials remain limited, the precedent from laparoscopic surgery is dramatic: in a randomized controlled trial, VR-trained residents performed procedures 29 percent faster and made six times fewer errors than their traditionally trained counterparts. Alongside VR, a flourishing ecosystem of low-cost tools has emerged. Couceiro and colleagues described a practical model using chicken thighs and wings that simulates clinical conditions better than inert synthetics. Navia and colleagues validated MicrosimUC, a do-it-yourself kit with a modified miniature microscope that produced skill gains comparable to formal laboratory courses. De Fré and colleagues even showed that a smartphone-based training model, despite lacking stereoscopic depth, effectively improved anastomosis quality, patency, and procedural timing. Video-based learning, too, has proven non-inferior to traditional tutor-led courses for novices.

Objective measurement is the newest frontier. Lyon and colleagues applied three-dimensional motion-tracking technology to analyze hand and instrument movements during microsurgical anastomoses, showing that metrics such as path length, idle time, and working volume can objectively differentiate trainees from experts, a promising basis for competency-based feedback. Chauhan and colleagues developed the Fundamentals of Microsurgery curriculum, adapting validated laparoscopic education principles with stepwise tasks from basic instrument handling to complex vessel anastomosis in confined spaces; progression through it translated into improved intraoperative performance, reduced mental workload, and decreased performance anxiety. Joy and colleagues introduced a high-fidelity platform using cryopreserved human veins and a pulsatile flow circuit, boosting resident confidence over repeated sessions. Yet a note of caution runs through the literature: in a systematic review by Javid and colleagues, only a handful of the 64 identified microsurgical simulation models achieved high levels of recommendation, with most lacking rigorous psychometric validation, a gap that undermines the generalizability of VR and other tools and slows their integration into formal curricula and credentialing.

The global picture remains uneven. Surveys of U.S. integrated plastic surgery programs found that while 94 percent had access to a training microscope, 78 percent lacked a formal curriculum. A 2023 review of 103 U.S. programs found only 35 percent offered a formal microsurgery curriculum, and fewer than one-fourth included benchmark assessments. Internationally, centers in South Korea, India, and Taiwan embed simulation directly into active surgical rotations, while organizations such as the American Society for Reconstructive Microsurgery, the World Society for Reconstructive Microsurgery, and the digitally native International Microsurgery Club, with more than 20,000 members, work to standardize training across borders. Disparities in resource access, particularly in low-income regions, still limit adoption of VR and wet labs. Looking ahead, the review points to artificial intelligence-powered adaptive simulators and telesimulation connecting remote learners with experts as the next frontier. The through-line of six decades is clear: the mentor’s steady hand remains irreplaceable, but it is now amplified by silicon, simulation, and a global network, ensuring that the artistry of microsurgery can be taught to anyone, anywhere.

Subject of Research: The evolution of microsurgical training methods from apprenticeship to simulation-based education

Article Title: The evolution of microsurgery training: a narrative review of historical foundations and modern innovations

Article References: Mortada, H. (2025). The evolution of microsurgery training: a narrative review of historical foundations and modern innovations. BMC Plastic and Reconstructive Surgery, 1(1), Article 3. https://doi.org/10.1186/s44452-025-00002-8

Image Credits: AI Generated

DOI: 10.1186/s44452-025-00002-8

Keywords: microsurgery, surgical training, virtual reality, simulation, medical education, wet labs, mentorship, reconstructive surgery, residency, surgical curriculum, telemedicine, history of medicine

Those anxieties materialized almost immediately. At the Colloquium’s first required session, held at the APA National Conference, she arrived late because her son had woken in the middle of the night with a fever and vomiting. She describes arriving bleary-eyed, monitoring every wave of nausea, and worrying that peers and mentors would dismiss her for her tardiness or fatigue, or worse, exclude her from the rest of the program. What she did not realize in that frantic morning, she later wrote, was that the episode marked the beginning of a longer process, one that would push her beyond the familiar language of “balancing” two lives and toward something more demanding and, ultimately, more sustainable: integrating them.

That process is now the subject of a first-person reflective article published in the journal Academic Psychiatry. The author, Melisa D. Granoff of Cambridge Health Alliance and Harvard Medical School, is a psychiatry resident pursuing research in perinatal psychiatry, the subspecialty focused on the mental health of people during pregnancy and the postpartum period. Her paper, part of the journal’s “Learner’s Voice” series, offers a rare, granular account of what it actually feels like to inhabit the roles of trainee, researcher, and mother simultaneously, and it argues that the prevailing metaphor of work-life balance may be fundamentally inadequate for describing the experience of physicians who are raising children while building careers in academic medicine.

The setting for her most vivid illustration was the annual meeting of the American College of Neuropsychopharmacology, the second of the three conferences required by the Colloquium. Granoff attended just three months after giving birth to her family’s third child, with her infant and husband in tow. She was there to present and discuss her own research on postpartum depression, a fitting assignment given her circumstances, but the trip became a live experiment in the collision of identities. Throughout the meeting, she writes, she grappled with the tension between her roles as academic psychiatrist and mother, eventually concluding that, despite her best efforts, inhabiting just one role at a time is not always possible.

The collision was sometimes startlingly physiological. In one session, she became engrossed in a peer’s presentation on the dysphoric milk ejection reflex, an understudied phenomenon in which lactating women experience a wave of dysphoria when milk lets down. This is precisely the kind of science, she notes, that draws her to research conferences in the first place: hearing peers present interesting and important work renews her sense of gratitude and excitement for the field. But the talk also triggered her own let-down reflex, physically pulling her out of the presentation and into a rapid-fire mental calculus. If she stayed, her shirt might be stained by the end. If she left, she would be disruptive. Did she have a spare shirt? Could she find her husband and daughter for an extra feeding, and would that mean the baby had eaten less earlier? She texted what she calls a nonsensical version of these worries to her husband under the table; he had wisely stayed close and was already en route with a replacement shirt.

The episode, she writes, delivered a stark physiologic reminder that the role of mother could not simply be checked at the door of a scientific meeting. For lactating attendees, the demands of the body do not pause for a plenary session, and the mental load of managing them, clothing, feeding schedules, logistics, runs concurrently with the cognitive work of attending to a talk. The anecdote is small, but it captures something that surveys of physician-parents have long suggested in aggregate: the infrastructure of professional life, from conference schedules to presentation norms, has largely been built around an assumption that participants are unencumbered by caregiving, and that assumption quietly shapes who can fully participate.

A second encounter at the same meeting, however, pointed toward what integration might look like when the environment supports it. The next morning, Granoff stood with her stroller in a carpeted area between meeting rooms, scanning for a familiar face while trying to appear casually interested in breakfast pastries and wall decor. She made eye contact with the chair of her own department. As a resident she had had little face time with him, though she knew his reputation as friendly and welcoming, and she also knew she was attending the conference while on maternity leave, a leave whose negotiation with her residency program had been challenging. She tentatively walked over. He greeted her and her daughter warmly, and then, despite her anxieties about how she might be perceived as a mother at the meeting, the baby did not remain the topic of conversation. They discussed which talks they each wanted to attend, and then her research on postpartum depression. He expressed gratitude for her work and suggested people she should talk to.

That brief exchange, Granoff argues, was substantively different from mere tolerance. It focused on her contributions as a researcher and served to validate her emerging professional identity as it exists alongside, rather than secondary to, her identity as a mother. In institutional terms, the moment illustrates a principle that researchers studying physician wellbeing have emphasized for years: supportive mentorship is not just about scheduling flexibility but about signaling that caregiving responsibilities and scholarly ambition are not in competition. A department chair who engages a postpartum resident as a scientist first, without erasing or ignoring the stroller beside her, performs a kind of cultural work that formal policies alone cannot accomplish.

The article also raises a subtler professional question that Granoff confronts head-on: the boundary between interest in a topic and self-involvement. By choosing to train to treat pregnant and postpartum patients, and to research how to better serve that population, while being a pregnant and postpartum person herself, she occupies one of the most delicate positions in psychiatry. Clinicians who share lived experience with their patients must constantly calibrate how much of themselves they bring into the room and into the research design. Her resolution is not to police the boundary more tightly but to reframe it: her decision to continue this work, she writes, is ultimately an expression of love for it, and proximity to the subject is part of what makes her scholarship authentic.

The broader significance of the piece lies in its argument about language and norms. “Balance” implies two things held apart on a scale, forever trading weight against each other; “integration” implies a single life in which professional and personal identities coexist, sometimes messily, in the same rooms and the same moments. By choosing integration over division, Granoff writes, her presence at that conference and at many others, with the three children she has had during medical training, was a vital step toward becoming an authentic and effective leader, and toward normalizing the full, complex integration of life and scholarship. For the institutions that train physicians, the lesson is concrete: when learners bring their whole selves to scientific meetings, the response they receive, dismissal or genuine professional engagement, may shape not only one career but the culture of academic medicine itself.

Subject of Research: Negotiating maternal and professional identities among physician-trainees in academic psychiatry

Article Title: Choosing Integration: Negotiating Professional and Maternal Identities in Academic Psychiatry

Article References: Granoff, M. D. (2026). Choosing Integration: Negotiating Professional and Maternal Identities in Academic Psychiatry. Academic Psychiatry. https://doi.org/10.1007/s40596-026-02428-3

Image Credits: AI Generated

DOI: 10.1007/s40596-026-02428-3

Keywords: academic psychiatry, perinatal psychiatry, physician mothers, work-life integration, maternity leave, medical training, postpartum depression, mentorship, professional identity, residency, APA Research Colloquium, gender in medicine

The peg transfer task is deceptively simple to describe. Using a pair of laparoscopic graspers, a trainee must pick up small objects, transfer them between the left and right instruments, and place them on a pegboard, all while viewing the field only through a camera that removes natural depth perception. Speed and precision both matter, and expert raters have long used the task to distinguish novices from seasoned minimally invasive surgeons. Previous research has established that simulator performance on FLS tasks predicts intraoperative laparoscopic skill, which is precisely why the program carries such weight in certification. But the same research literature has also documented how resource-intensive human assessment can be, motivating a decades-long search for automated, objective measures of surgical motion, from early motion-analysis studies to modern deep learning approaches that interpret surgical video directly.

To build their dataset, the researchers recorded general surgery residents and medical students at an academic medical center performing the peg transfer task on camera. In total, 132 videos were captured. Two adjudicators then independently scored each recording as beginner, intermediate, or expert, basing their judgments on task duration and the perceived technical quality of the performance. This human labeling step is crucial: in supervised machine learning, the algorithm can only be as good as the ground truth it learns from, and the use of two independent adjudicators helps ensure the labels reflect genuine consensus about skill level rather than one rater’s idiosyncrasies. Of the 132 recordings, 100 were ultimately used for analysis, while 32 were excluded because of tracking dropout, a reminder that even mature computer vision systems can lose track of instruments when visibility degrades or movements become ambiguous.

Technically, the pipeline rests on several components that have become standard tools in modern computer vision. The team used Ultralytics YOLOv8 for object detection, identifying and localizing the laparoscopic instruments frame by frame, and paired it with ByteTrack, a multi-object tracking algorithm that associates detection boxes across consecutive frames to maintain consistent identities for each instrument through time. From these tracked trajectories, the system extracted three quantitative input features: task duration, instrument path length, and peg displacement. These features distill an entire performance into the quantities that surgical educators have long recognized as meaningful. Shorter completion times and shorter instrument travel distances have historically correlated with higher technical skill, while peg displacement captures the physical consequences of the surgeon’s actions on the training board itself. A gradient boosting classifier, LightGBM, then mapped these features to skill level labels.

The model was trained under five-fold cross-validation, a rigorous scheme in which the data are split into five subsets and the model is repeatedly trained on four while being tested on the fifth, so that every recording serves as an unseen test case. The results were strong. Overall classification accuracy reached 84 percent, and, notably, the model made almost no beginner-to-expert misclassifications, meaning it essentially never confused the least skilled performers with the most skilled ones. The macro-averaged area under the curve, a measure of the model’s ability to discriminate across classes, came in at 0.907 plus or minus 0.061. Broken down by class, the AUC was 0.971 for beginners, 0.850 for intermediates, and 0.900 for experts, indicating that the extremes of the skill spectrum were the easiest to identify while the middle category, as is often the case in ordinal classification problems, posed the greatest challenge.

A threshold-based variant of the classifier, which converts the model’s probability outputs into hard class assignments, achieved a macro F1-score of 0.83 and, strikingly, a precision of 0.96 when identifying experts. In practical terms, when the system declares a performance expert-level, it is right nearly every time. That property matters for real-world deployment in surgical education. A tool that occasionally under-recognizes an intermediate performer but almost never inflates a novice to expert status is far safer for high-stakes feedback than one with symmetric error rates. The authors suggest that their AI-enabled computer vision model may offer a scalable supplement to traditional expert-based evaluation, potentially increasing opportunities for trainee feedback without adding to faculty workload.

The significance of that scalability claim becomes clear when considering the structure of American surgical training. Because successful FLS completion is a prerequisite for board qualification, residents across the country must prepare for and pass the exam, and studies have shown that doing so improves operative performance and autonomy while boosting junior residents’ self-efficacy. Yet feedback during preparation typically requires a faculty surgeon to watch practice runs, an expensive use of attending physician time that caps the frequency of assessment. A vision-based system that can watch unlimited repetitions and deliver consistent, quantified scores could allow residents to practice more deliberately, tracking their trajectory from beginner toward expert using objective metrics rather than intermittent impressions. The authors argue that implementing such AI-enabled assessment systems may enhance the accessibility of feedback and promote technical skill development across training programs, not just at well-resourced academic centers.

The study also situates itself within a rapidly expanding body of work on artificial intelligence in surgery. A 2024 review in Nature Medicine charted the broad scope of AI applications across the surgical lifecycle, and recent projects have applied deep learning to simulated laparoscopic skill assessment, video-based formative and summative evaluation of surgical tasks, and competency gauging on novel laparoscopic training systems. Earlier efforts demonstrated that 3D convolutional neural networks could assess skill directly from raw video, while other teams built software-based motion tracking tools for the surgical skills assessment landscape. What distinguishes the new UCLA approach is its deliberate parsimony: rather than feeding entire video streams into a heavyweight neural network, the researchers reduced each performance to three interpretable features derived from instrument tracking. This design choice makes the model’s decisions easier to audit and explain to educators, an important consideration as AI tools move closer to credentialing processes.

The choice of features also connects the work to foundational research in surgical education. Landmark studies by Datta and colleagues at Imperial College showed decades ago that motion analysis metrics correlate strongly with expert technical assessments, and randomized trials demonstrated that FLS simulator training to proficiency translates into improved laparoscopic performance in the operating room. By automating the extraction of duration, path length, and displacement, the new system operationalizes those validated constructs at scale, converting what once required laboratory motion-tracking equipment into something achievable with a standard camera and open-source detection and tracking software. The exclusions for tracking dropout, however, highlight remaining engineering challenges: lighting, camera angle, occlusion, and instrument visibility all still influence whether the pipeline can reliably follow tools through a complete performance.

The research team, led by corresponding author Terrance Peng of UCLA and including collaborators from Cedars-Sinai Medical Center, reports no conflicts of interest related to the project. The authors caution that their model was developed and validated on recordings from a single academic medical center, and broader validation across institutions, camera setups, and trainee populations will be needed before such systems can assume a formal role in summative assessment. Privacy considerations also shape the field: the video recordings generated for the study are not publicly available, with additional data available only on reasonable request. Still, the trajectory of the results, 84 percent accuracy, near-zero confusion between skill extremes, and 96 percent expert precision, suggests that AI-assisted surgical assessment is moving from proof-of-concept toward practical tool. If future systems match this performance in everyday training environments, the hours faculty spend watching peg transfers could be redirected toward higher-value teaching, while residents gain the luxury of feedback after every single repetition, a shift that could quietly reshape how the next generation of surgeons learns to operate.

Subject of Research: Artificial intelligence-based computer vision assessment of laparoscopic surgical skill on the FLS peg transfer task

Article Title: Artificial intelligence-enabled evaluation of laparoscopic peg transfer performance

Article References: Peng, T., Alipour, A., Desai, K., Chen, D., Huang, G., Rosenthal, R. J., Barmparas, G., Chen, Y., & Benharash, P. (2026). Artificial intelligence-enabled evaluation of laparoscopic peg transfer performance. Global Surgical Education – Journal of the Association for Surgical Education, 5(1), Article 173. https://doi.org/10.1007/s44186-026-00580-w

Image Credits: AI Generated

DOI: 10.1007/s44186-026-00580-w

Keywords: artificial intelligence, computer vision, laparoscopic surgery, surgical education, FLS, peg transfer, skills assessment, machine learning, surgical training, object detection, YOLOv8, residency