AI in Clinical Trials: Optimizing Research and Development

Abstract

Artificial intelligence (AI) is transforming clinical trials by enhancing efficiency and accuracy in research and development. This paper explores AI applications in patient recruitment, trial design, and data analysis. We review case studies demonstrating AI's ability to identify suitable participants, predict trial outcomes, and streamline data management. The paper also discusses challenges such as data privacy, algorithm transparency, and regulatory hurdles. Recommendations for integrating AI into clinical trial processes are provided, highlighting the potential for AI to accelerate drug development and improve clinical research quality.