"These models are great at naming a final diagnosis once the data is complete, but they struggle at the open-ended start of a ...

Mass General Brigham research shows that publicly available AI chatbots are getting better at diagnostic accuracy when ...

Recent trends show more people turning to artificial intelligence (AI) for medical advice, using it to interpret symptoms and ...

Rao and colleagues evaluated the clinical reasoning performance of 21 off-the-shelf LLMs across 29 standardized clinical ...

In a recent study published in JAMA Network Open, researchers investigated the clinical reasoning ability of large language models (LLMs). LLMs have rapidly gained interest in medicine, powering tools ...

General purpose large language model chatbots are getting better at coming up with patients' final diagnoses but are still weak in clinical reasoning, including ...

Timing is everything: How gen AI-driven digital platforms influence the way real-world cancer patients search for, learn about, and enroll in clinical trials. Predictive modeling by tumor type: ...

ACUTE ischemic stroke outcome prediction may be improved by a reasoning enhanced large language model that can extract ...

A new study from Texas A&M, UT Austin, and Purdue warns that large language models trained on low-quality, engagement-driven data can suffer lasting reasoning deficits, a phenomenon dubbed 'brain rot.

Clinical reasoning is the backbone of effective healthcare, guiding professionals to make timely, evidence-based decisions. From structured frameworks to therapeutic relationships and ...