This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Artificial Intelligence (2129) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Machine Learning (2076) AI Language Models in Health Care (202) Generative Language Models Including ChatGPT (708) Clinical Information and Decision Making (1915)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71916, first published .
Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

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

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

Authors of this article:

HongYi Li1, 2 Author Orcid Image ;   Jun-Fen Fu3, 4, 5 Author Orcid Image ;   Andre Python1, 6, 7 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

HongYi Li   1, 2 , BS ;   Jun-Fen Fu   3, 4, 5 , MD, PhD ;   Andre Python   1, 6, 7 , PhD

1 Center for Data Science, Zhejiang University, Hangzhou, China

2 School of Mathematical Sciences, Zhejiang University, Hangzhou, China

3 School of Medicine, Children’s Hospital of Zhejiang University, Hangzhou, China

4 National Clinical Research Center for Child Health, Hangzhou, China

5 National Regional Center for Children’s Health, Hangzhou, China

6 School of Medicine, Zhejiang University, Hangzhou, China

7 Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

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