Monitoring Changes in Clinical Trial Primary Outcomes Using Large Language Models
This cross-sectional study investigates the prevalence of meaningful changes to the outcomes in preregistered clinical trials using large language models.
Authors
- Wonjin Yoon (ORCID: https://orcid.org/0000-0002-6435-548X)
- Ian Bulovic
- Susmitha Wunnava (ORCID: https://orcid.org/0000-0001-8502-6047)
- Adam G. Dunn
- Florence T. Bourgeois
- Timothy Miller
Institutions
- Boston Children's Hospital (US)
- The University of Sydney (AU)
- Harvard University (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-09-16
- DOI
- https://doi.org/10.1001/jamanetworkopen.2026.34214
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00