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

Research Letter (44) Clinical Informatics (2273) Pediatrics (368) Cardiology (284) Artificial Intelligence (4774) Language Accessibility, Equity, and Translation Technologies for Medicine and Public Health (56) Generative Language Models Including ChatGPT (1524) AI Language Models in Health Care (745) Ethical, Legal, and Social Issues in AI (210) Responsible Health AI (230)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85221, first published .
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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 (2) Tweetations (3) Metrics

Journals

  1. Kwolek K, Laskowska W, Pilarek M, Ożga S, Roszkowska M, Furtak M, Janczarski S, Sarna D, Wąs Ł, Tryczyński P. GENERATIVE ARTIFICIAL INTELLIGENCE AND LARGE LANGUAGE MODELS IN EMERGENCY MEDICINE: A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2026;1(3(51)) View
  2. Rebollo-Giménez A, La Bella S, Matucci-Cerinic C, García-Alija A, Gattorno M, Alongi A, Ruperto N. Multimodal and fair artificial intelligence in paediatric rheumatology: challenges and opportunities for a holistic and equitable future. Current Opinion in Immunology 2026;102:102835 View