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

Artificial Intelligence (2129) Innovations in Clinical Trials and Research Data Management (124) Health Informatics Education and Training (81) Digital Health Reporting Standards, Quality and Transparency in e-Research (132) Recruitment of Research Participants (377) mHealth for Data Collection and Research (1196) Research Methodology - AI (36) Human Factors and Usability Case Studies (1005)

Published on in Vol 26 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58578, first published .
Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study

Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study

Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study

Authors of this article:

David Chen1 Author Orcid Image ;   Christian Cao1 Author Orcid Image ;   Robert Kloosterman1 Author Orcid Image ;   Rod Parsa2 Author Orcid Image ;   Srinivas Raman3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Chen D, He E, Pace K, Chekay M, Raman S. Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review. The Oncologist 2025;30(5) View
  2. Chen D, Arnold K, Sukhdeo R, Farag Alla J, Raman S. Concordance with CONSORT-AI guidelines in reporting of randomised controlled trials investigating artificial intelligence in oncology: a systematic review. BMJ Oncology 2025;4(1):e000733 View