Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review
importance 6/10
ai assisted
Artificial Intelligence in Healthcare and Education clinical trials stage: research
Problem
Recruiting and retaining participants in clinical trials is difficult and often limits research progress.
Why it matters
Poor recruitment delays or prevents trials from answering medical questions.
What the AI did
A scoping review mapped 51 studies (2004-2023) applying AI to trial recruitment, reporting positive outcomes; no new AI system was developed.
Results
not stated in source
Impact
Review summarizes existing evidence that AI has been applied to trial recruitment with reported positive outcomes.
Record
| Venue | Journal of the American Medical Informatics Association |
|---|---|
| Published | 2024 |
| Work type | article |
| Authors | Xiaoran Lu, Yang Chen, Lu Liang, Guanyu Hu, Ziyi Zhong, Zihao Jiang |
| Citations | 76 (OpenAlex, at import time) |
| References | 87 |
| Model or method | not stated in source |
| Organization | not stated in source |
| Primary source | https://doi.org/10.1093/jamia/ocae243 |
| Open access | hybrid |
| Keywords | artificial intelligence, clinical trials, recruitment, retention, scoping review |
Importance rating
6
significant — thousands to millions affected
Abstract maps AI use in trial recruitment citing efficiency, cost savings, and improved recruitment, but states no scale; importance inferred from recruitment limiting research progress.