Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol.

Journal: BMJ open
Published Date: Mar 19, 2024

Abstract

INTRODUCTION: In recent years, the influence of artificial intelligence technology on clinical trials has been steadily increasing. It has brought about significant improvements in the efficiency and cost reduction of clinical trials. The objective of this scoping review is to systematically map, describe and summarise the current utilisation of artificial intelligence in recruitment and retention process of clinical trials that has been reported in research. Additionally, the review aims to identify benefits and drawbacks, as well as barriers and facilitators associated with the application of artificial intelligence in optimising recruitment and retention in clinical trials. The findings of this review will provide insights and recommendations for future development of artificial intelligence in the context of clinical trials.

Authors

  • Xiaoran Lu
    School of Humanities, Central South University, Changsha, People's Republic of China.
  • Mingan Chen
    Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
  • Zhuolin Lu
    School of Humanities, Central South University, Changsha, People's Republic of China.
  • Xiaoting Shi
    Department of Environmental Health Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
  • Lu Liang
    Department of Geography and the Environment, University of North Texas, Denton, TX, 76203, USA. Electronic address: lu.liang@unt.edu.

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