Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline.

Journal: Journal of medical Internet research
Published Date: Jul 11, 2025

Abstract

BACKGROUND: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitable algorithms to support their work.

Authors

  • Hongyi Li
    State Key Laboratory of Robotics, Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, Liaoning, P. R. China.
  • Jun-Fen Fu
    School of Medicine, Children's Hospital of Zhejiang University, Hangzhou, China.
  • Andre Python
    Malaria Atlas Project, Big Data Institute, University of Oxford, Oxford, UK.

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