Artificial intelligence enhances screening efficiency for inflammatory bowel disease clinical trials: a prospective study
An LLM-based AI tool significantly improved identification of potentially eligible patients and screening efficiency for IBD clinical trials, outperforming physician referrals by screening electronic medical records and generating ranked candidate lists based on trial inclusion/exclusion criteria, thereby enhancing trial recruitment.
Authors
- Akshita Gupta (ORCID: https://orcid.org/0000-0002-0801-789X)
- Adam F. Steinlauf (ORCID: https://orcid.org/0000-0003-4047-8546)
- Phyu Mar
- Sari Feldman
- Asher Leviton
- Michele Cohen
- Eyal Klang
- Alberta Onyuka
- Robert Freeman
- Jean-Frederic Colombel
- Girish N Nadkarni
Institutions
- Mount Sinai Medical Center (US)
- Child Health and Development Institute (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Inflammatory Bowel Diseases
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1093/ibd/izag021
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70