Evaluation and mitigation of the limitations of large language models in clinical decision-making
Clinical decision-making is one of the most impactful parts of a physician's responsibilities and stands to benefit greatly from artificial intelligence solutions and large language models (LLMs) in particular. However, while LLMs have achieved excellent performance on medical licensing exams, these tests fail to assess many skills necessary for deployment in a realistic clinical decision-making environment, including gathering information, adhering to guidelines, and integrating into clinical w
Record details
Published: 4 July 2024
Source: OpenAlex
Category: Research
Topics: Copyright & IP · Healthcare · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (4 July 2024), “Evaluation and mitigation of the limitations of large language models in clinical decision-making,” evidence record 9474, https://ethics.ai/record/9474 (originally published by OpenAlex).
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