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

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 39259922

Abstract

OBJECTIVE: The objective of our research is to conduct a comprehensive review that aims to systematically map, describe, and summarize the current utilization of artificial intelligence (AI) in the recruitment and retention of participants in clinical trials.

Authors

  • Xiaoran Lu
    School of Humanities, Central South University, Changsha, People's Republic of China.
  • Chen Yang
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Lu Liang
    Department of Geography and the Environment, University of North Texas, Denton, TX, 76203, USA. Electronic address: lu.liang@unt.edu.
  • Guanyu Hu
    Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, 541004, China. huguanyu0708@163.com.
  • Ziyi Zhong
    Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.
  • Zihao Jiang
    School of Marxism, Shenzhen Polytechnic University, Shenzhen, Guangdong 518055, P.R. China.

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