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

Artificial Intelligence (2469) Ethics, Privacy, and Legal Issues (685) Recruitment of Research Participants (396) Innovations in Clinical Trials and Research Data Management (149) Generative Language Models Including ChatGPT (894) AI Language Models in Health Care (292) Applications of AI (389)

Published on in Vol 27 (2025)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67469, first published .
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Large Language Models in Randomized Controlled Trials Design: Observational Study

Large Language Models in Randomized Controlled Trials Design: Observational Study

Authors of this article:

Liyuan Jin1 Author Orcid Image ;   Jasmine Chiat Ling Ong1, 2 Author Orcid Image ;   Kabilan Elangovan3 Author Orcid Image ;   Yuhe Ke1, 4 Author Orcid Image ;   Alexandra Pyle3 Author Orcid Image ;   Daniel Shu Wei Ting1, 3, 5 Author Orcid Image ;   Nan Liu1, 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Denham D, Wang C, Maric E, Hinton L, Heniford B. Large Language Models in Surgery: Promise, Pitfalls, and Practical Use. Journal of Abdominal Wall Surgery 2026;5 View
  2. Zand J, Suvakov M, Overgaard S, Silvano C, Meiners L, Fan J, Carter R, Wieland M, Patten C, Dugani S, Dieter H, Wi C, Juhn Y, Enders F, Callstrom M, Shah V, Garovic V. The Evolving Role of Large Language Models in Healthcare Research and Scientific Communication. Mayo Clinic Proceedings 2026 View
  3. Qian Q. Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study. JMIR AI 2026;5:e95899 View