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

Xiaoran LuChen YangLu LiangGuanyu HuZiyi ZhongZihao Jiang
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
While AI holds promise for optimizing recruitment in clinical trials, its effectiveness requires further validation. Future research should focus on using valid and standardized outcome measures, methodologically improving the rigor of the research carried out.
Keyphrases
  • artificial intelligence
  • clinical trial
  • big data
  • machine learning
  • deep learning
  • phase ii
  • randomized controlled trial
  • systematic review
  • open label
  • current status
  • study protocol
  • double blind