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

Pilot studies (ehealth) (662) New Methods and Approaches in Medical Education (635) Research Training (23) Artificial Intelligence (AI) in Medical Education (752) Generative Language Models Including ChatGPT (1520) Education on Publishing Ethics and Research Integrity (4) AI for Research Integrity (4)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98343, first published .
Medical team collaborating on laptops during a meeting

Teaching the Atomic Sentence Method for Source-Verified, AI-Assisted Literature Synthesis to Clinical Health Care Professionals: Single-Cohort Feasibility and Acceptability Study

Teaching the Atomic Sentence Method for Source-Verified, AI-Assisted Literature Synthesis to Clinical Health Care Professionals: Single-Cohort Feasibility and Acceptability Study

Authors of this article:

Sung-Wei Liu1, 2 Author Orcid Image ;   Shao-Yin Chu2, 3, 4 Author Orcid Image ;   Hung-Che Wang4 Author Orcid Image ;   Ming-Shinn Lee5 Author Orcid Image
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