Mass General Brigham study finds chatbots miss initial diagnosis in 80% of cases but improve with more clinical data and ...

Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers ...

Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but most operate as end-to-end black boxes, diverging from clinicians’evidence-based, staged workflows and ...

CLINICAL QUESTION: What are strategies that can equip medical educators and learners to engage critically with artificial intelligence (AI)? BACKGROUND: AI has the capacity to fundamentally alter ...

Background: Virtual patients (VPs) are computer-based simulations of clinical scenarios used in health professions education to address various learning outcomes, including clinical reasoning (CR). CR ...

A new AI-driven diagnostic framework combines clinical, genetic, and phenotypic data to help shorten the rare disease diagnostic journey while providing transparent, evidence-based reasoning for ...

Confluence Health's Kaci Ramsey discusses how embedding clinical roles into the revenue cycle protected millions in revenue and bridged the divide between finance and care. Before beginning a new ...

Medical education is once again in the midst of a technological inflection point. Large language models (LLMs) can now pass licensing-style exams, draft clinical notes, simulate patients, and tutor ...

U.S. medical schools vary widely in AI education, from optional lectures to required courses. At Hackensack Meridian School of Medicine in Nutley, N.J., leaders are working to define and teach AI ...

Applying DSM criteria in a simple checklist fashion can result in significant clinical mistakes and overmedication, Giovanni A. Fava warns in his latest book, Clinical Judgment in Psychiatry: The ...