Clinical reasoning and decision making represent the cornerstone of effective patient care and are integral to advanced medical education. This field explores how students and professionals blend ...

A prospective feasibility study in an urgent care clinic tested a conversational AI system (AMIE) with 100 real patients to evaluate whether it could safely collect medical histories before doctor ...

When evaluating simulated clinical cases, Open AI's GPT-4 chatbot outperformed physicians in clinical reasoning, a cross-sectional study showed. Median R-IDEA scores -- an assessment of clinical ...

It depends. Reasoning in clinical practice is not black and white. When students ask what they should do for a particular condition, the answer is often “it depends”. It depends on the clinical ...

Kahun builds the world’s largest map of clinical knowledge containing more than 30 million medical insights in order to replicate clinical reasoning at scale, overcoming the major ‘black box’ problem ...

The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had ...

Health systems and their technology vendors can work together to modernize clinical process maps using artificial intelligence – transforming them from static reference documents into living guidance ...

Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...