AI steps up in healthcare: GPT-3.5 and 4 excel in clinical reasoning
News Medical
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Summary
Study demonstrates large language models (LLMs) like GPT-3.5 and GPT-4 can simulate clinical reasoning with prompt engineering, improving integration into healthcare. Comparing traditional chain-of-thought (CoT) prompting to diagnostic prompts, GPT models use large volumes of text data for tasks like writing clinical notes and medical exams. Tested on revised MedQA and NEJM datasets, GPT-3.5 and GPT-4 exhibit improved reasoning but not accuracy. GPT-4 shows better accuracy overall, 78% with analytical reasoning prompts, Bayesian inferences and differential diagnostic reasoning. These findings help overcome 'black box' limitations of LLMs, improving user trust.
