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

Artificial Intelligence (1779) Innovations in Clinical Trials and Research Data Management (106) Health Informatics Education and Training (66) Digital Health Reporting Standards, Quality and Transparency in e-Research (99) Recruitment of Research Participants (348) mHealth for Data Collection and Research (1092) Research Methodology - AI (17) Human Factors and Usability Case Studies (902)

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 (1) 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