AI in Clinical Trial Design and Patient Recruitment

Abstract

The application of artificial intelligence in the design and conduct of patient recruitment in clinical trials is targeted at addressing some of the key inefficiencies, including longer timelines and the lack of some participant characteristics. This chapter presents readers with the opportunities and advantages of using AI to make protocols more specific and execute patient recruitment more efficiently. This chapter integrates thorough discussions that explain how predictive analytics, machine learning, and other tools such as natural language processing can be used to identify participants and refine the design of trials. Moreover, this chapter contains a description of the use and results of AI implementation with the help of the provided case studies. In this way, it is possible to learn how to increase the efficiency of a trial, the number of sourced participants, and recruitment issues using AI technology. Ethical and regulatory issues are also discussed in this chapter, which provides an overview of the role and functions AI can play in the process of clinical trials.