Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study
Our case-control study is one of the first to identify trial design factors associated with completion of AI trials and catalog study-reported reasons for AI trial failure. We observed that trial design factors positively associated with trial completion include trials conducted in Europe and sample size. Given the promising clinical use of AI tools in health care, our results suggest that future translational research should prioritize addressing the design factors of AI clinical trials associated with trial incompletion and common reasons for study failure.
Authors
- Srinivas Raman (ORCID: https://orcid.org/0000-0001-5688-9628)
- Robert Kloosterman (ORCID: https://orcid.org/0000-0002-5474-9012)
- David Chen (ORCID: https://orcid.org/0000-0003-3178-519X)
- Christian Cao (ORCID: https://orcid.org/0000-0002-0395-0381)
- Rod Parsa (ORCID: https://orcid.org/0009-0009-7205-8774)
Institutions
- University of Toronto (CA)
- McMaster University (CA)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-09-23
- DOI
- https://doi.org/10.2196/58578
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.72