AI Medical Scribes Still Make Dangerous Errors in Surgical Notes, Study Finds
A controlled evaluation of eight ambient voice technologies found that 30 to 68 percent of AI-transcribed surgical records contained clinically ...
A controlled evaluation of eight ambient voice technologies found that 30 to 68 percent of AI-transcribed surgical records contained clinically ...
An integrated analysis of human genetics, patient-derived cell models and electronic health records has identified 19 Alzheimer's drug targets in ...
A large All of Us study finds that REM sleep behavior disorder, mild cognitive impairment, and orthostatic hypotension are the ...
An analysis of nearly half a million clinical trials and real-world data from over 91,000 patients reveals that immune-related side ...
A landmark analysis of electronic health record data from nearly 15,000 patients with cancer identifies four consistent symptom trajectories and ...
A two-year hospital trial screening effort generated 9,140 flagged records but enrolled only 23 patients on buprenorphine, exposing both algorithmic ...
Physicians argue that a patient's simple question about divided attention exposes a system-level design flaw in modern primary care communication, ...
A multicenter survey of internal medicine clinicians finds that while nearly all recognize the importance of avoiding stigmatizing language in ...
A new JACC: Advances study shows the Family Heart Foundation's FIND Lp(a) machine learning model identifies cardiovascular disease patients more ...
A population-based analysis of 7.19 million English adults with multiple long-term conditions reveals that AI mental health tools cover only ...
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© 2025 Scienmag - Science Magazine