Large language model outperformed physicians in diagnostic reasoning tasks, highlighting potential for AI in clinical care.

Rapid improvements in artificial intelligence emphasize need for randomized trials ...

Mass General Brigham research shows that publicly available AI chatbots are getting better at diagnostic accuracy when presented with comprehensive clinical information, but still underperform at ...

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 ...

A new multi-center study found that OpenAI's o1 large language model matched or exceeded the diagnostic and management reasoning of hundreds of physicians in six test settings, particularly excelling ...

In a new study, researchers found a large language model (LLM) outperformed physicians across many common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and ...

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 ...

Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers from the MESH Incubator shows that generative AI models continue to fall ...