Real-World Applications of AI in Adaptive Clinical Trials

Abstract

Adaptive clinical trials represent a significant advancement in clinical research, offering greater flexibility and efficiency compared to traditional trial designs. The integration of artificial intelligence further enhances the potential of adaptive trials by optimizing decision-making processes, streamlining operations, and ultimately improving trial outcomes. This paper explores the transformative role of AI in adaptive clinical trials, examining how AI-driven tools are being applied across various stages of the trial lifecycle. We discuss the applications of AI in trial design, patient recruitment, continuous monitoring, and data analysis, highlighting real-world examples and case studies. Furthermore, we address the challenges and ethical considerations associated with integrating AI in clinical research, emphasizing the need for responsible development and implementation of AI-powered solutions. Finally, we offer insights into the future directions of AI in adaptive clinical trials and its potential to revolutionize evidence generation in healthcare.