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April 1, 2024JAMA Internal Medicine167 citations

Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians

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SCStephanie CabralBeth Israel Deaconess Medical CenterDRDaniel RestrepoHarvard UniversityZKZahir KanjeeBeth Israel Deaconess Medical Center

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Abstract

This cross-sectional study assesses the ability of a large language model to process medical data and display clinical reasoning compared with the ability of attending physicians and residents.

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Cite This Study

Cabral et al. (2024) studied this question.

synapsesocial.com/papers/68e70d8cb6db643587686f1fhttps://doi.org/10.1001/jamainternmed.2024.0295
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Can Humanlike Reasoning Be Replicated in Large Language Models for Clinical Decision-Making?2026
  2. 2Performance of a large language model on the reasoning tasks of a physician.2026 · 37 citations
  3. 3A Novel Framework for Evaluating the Clinical Reasoning Process of Large Language Models: A Comparative Study in Nephrology2025
  4. 4Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology Examination2024 · 24 citations
  5. 5Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study2026