Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review

Xiaoran Lu, Yang Chen, Lu Liang, Guanyu Hu, Ziyi Zhong, Zihao Jiang

Journal of the American Medical Informatics Association 2024 article cited by 76

importance 6/10 ai assisted Artificial Intelligence in Healthcare and Education clinical trials stage: research

Recruiting and retaining participants in clinical trials is difficult and often limits research progress.

Poor recruitment delays or prevents trials from answering medical questions.

A scoping review mapped 51 studies (2004-2023) applying AI to trial recruitment, reporting positive outcomes; no new AI system was developed.

not stated in source

Review summarizes existing evidence that AI has been applied to trial recruitment with reported positive outcomes.

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
6 / 10

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.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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