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

Formative Evaluation of Digital Health Interventions (5116) Epublishing and Open Access (154) New Methods (1790) New Methods and Approaches in Medical Education (633) New Resources for Medical Education (204) Artificial Intelligence (4754) Digital Health Meta-Research and Bibliographic Studies (117) Artificial Intelligence (AI) in Medical Education (743) Generative Language Models Including ChatGPT (1507) AI for Writing and Research Communication (31)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69707, first published .
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Using Large Language Models to Summarize Evidence in Biomedical Articles: Exploratory Comparison Between AI- and Human-Annotated Bibliographies

Using Large Language Models to Summarize Evidence in Biomedical Articles: Exploratory Comparison Between AI- and Human-Annotated Bibliographies

Authors of this article:

Michelle Colder Carras1 Author Orcid Image ;   Riaz Qureshi2 Author Orcid Image ;   Kevin Naaman2 Author Orcid Image ;   Faisal Aldayel3 Author Orcid Image ;   Mayank Date3 Author Orcid Image ;   Dahlia AlJuboori3 Author Orcid Image ;   Johannes Thrul3 Author Orcid Image
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Journals

  1. Simoni J, Simoni D. A primer on artificial intelligence for palliative care educators. Palliative Care and Social Practice 2026;20 View