reviewAnnals of Internal MedicineJan 29, 2024Closed access

Large Language Models in Medicine: The Potentials and Pitfalls

Stanford University

PubMed
Indexed incrossrefpubmed

Abstract

Large language models (LLMs) are artificial intelligence models trained on vast text data to generate humanlike outputs. They have been applied to various tasks in health care, ranging from answering medical examination questions to generating clinical reports. With increasing institutional partnerships between companies producing LLMs and health systems, the real-world clinical application of these models is nearing realization. As these models gain traction, health care practitioners must understand what LLMs are, their development, their current and potential applications, and the associated pitfalls in a medical setting. This review, coupled with a tutorial, provides a comprehensive yet accessible overview…

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