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

Research Letter (5) Generative Language Models Including ChatGPT (760) AI Language Models in Health Care (224) Artificial Intelligence (2252) Responsible Health AI (67) Ethical, Legal, and Social Issues in AI (113) Clinical Informatics (1381) Language Translation Technologies for Medicine and Public Health (26) Cardiology (233) Pediatrics (289)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85221, first published .
Evaluating Large Language Model–Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study

Evaluating Large Language Model–Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study

Evaluating Large Language Model–Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study

Authors of this article:

Brian Han1 Author Orcid Image ;   Traci Barnes1 Author Orcid Image ;   Charitha D Reddy1 Author Orcid Image ;   Andrew Y Shin1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Brian Han   1 , MD ;   Traci Barnes   1 , MD ;   Charitha D Reddy   1 , MD ;   Andrew Y Shin   1 , MD

1 Division of Cardiology, Lucile Packard Children’s Hospital, Stanford University School of Medicine, Palo Alto, CA, United States

Corresponding Author:

  • Brian Han, MD
  • Division of Cardiology
  • Lucile Packard Children’s Hospital
  • Stanford University School of Medicine
  • 750 Welch Road
  • Suite 305, MC 5208
  • Palo Alto, CA 94304
  • United States
  • Phone: 1 6507237913
  • Email: brianhan@stanford.edu