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

AI Language Models in Health Care (655) Pediatrics (351) Patient Education for Surgery and Anesthesiology (51) Perioperative Pediatric Care (43) Design and Evaluation of Patient Education Materials (162) Perioperative Patient Education (38) Generative Language Models Including ChatGPT (1370)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93054, first published .
Doctor talks to worried mother and child in hospital room.

Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability Study

Evaluation of Five Large Language Models for Parental Education in Pediatric Anesthesia: Reliability and Readability Study

Authors of this article:

Fulin Pu1 Author Orcid Image ;   Jishuang Hong1 Author Orcid Image ;   Xiaoying Wei2 Author Orcid Image ;   Yanling Chen1 Author Orcid Image
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Fulin Pu   1 * , MN ;   Jishuang Hong   1 * , MD ;   Xiaoying Wei   2 , MN ;   Yanling Chen   1 , MD

1 Department of Anesthesiology, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, Guangzhou, Guangdong, China

2 Nursing Department, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China

*these authors contributed equally

Corresponding Author:

  • Yanling Chen, MD
  • Department of Anesthesiology
  • Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University
  • 56 Lingyuan West Road
  • Guangzhou, Guangdong 510055
  • China
  • Phone: 86 02083871483
  • Email: chenyling33@mail.sysu.edu.cn