Scoping review maps machine learning tools reshaping clinical decision support
A scoping review of 20 studies finds machine learning clinical decision support systems show strong diagnostic performance but face barriers ...
Tag: Clinical Decision Support Systems
AI model flags suicide risk in emergency rooms using routine admission data
University of Johannesburg researchers have built an AI model that uses routine hospital admission data to flag emergency room patients ...
Multimodal AI maps the path to personalized cancer immunotherapy
A Science Bulletin review outlines how multimodal artificial intelligence integrating molecular, cellular, and clinical data could refine immunotherapy decisions while ...
Why Almost No Machine Learning Models Ever Reach the Hospital Bedside
An editorial in Frontiers in Medicine argues that the vast majority of clinical machine-learning models never reach patients, with fewer ...
Structured digital training boosts medical students’ confidence in drug decisions
A quasi-experimental study of 112 medical students shows structured Clinical Decision Support Systems training builds lasting confidence and evidence-based database ...
Smart Healthcare’s Next Test: Can Vision-Language Models Reason Safely?
A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.
Ask, Audit, Apply: A New Rulebook for Doctors Thinking with AI
Researchers propose a three-step framework—Ask, Audit, Apply—to guide clinicians in reasoning safely and accountably with AI-powered decision support tools.
JAMA Network Launches JAMA AI, a New Peer-Reviewed Journal for Clinical Artificial Intelligence Research
The JAMA Network has announced JAMA AI, a new peer-reviewed journal launching in early 2027 that will publish clinical research ...
Hospitals Are Drowning in Patient Data While Missing the Warning Signs That Matter
A new viewpoint in the Journal of General Internal Medicine argues that hospitals already collect the data needed to prevent ...
Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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