Article

An interdisciplinary, randomized, single-blind evaluation of state-of-the-art large language models for their implications and risks in medical diagnosis and management

2025-06-24

Abstract excerpt

<h4>Background</h4> State-of-the-art (SOTA) large language models (LLMs) are poised to revolutionize clinical medicine by transforming diagnostic, therapeutic, and interdisciplinary reasoning. Despite their promising capabilities, rigorous benchmarking of these models is essential to address concerns about their clinical proficiency and safety, particularly in high-risk environments. <h4>Methods</h4> This study im...

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Literature Corpus work: 2880383c-7fe9-5b92-ba61-53e8eb0ffe38
DOI: 10.1101/2025.06.20.25326623

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