The evolution of clinical trial design methods over the past century has been profound, driven by the increasing complexity of medical research and technological advancements. Clinical trials have transitioned from simple, static designs to complex, adaptive methodologies, tailored to meet the demands of modern medicine. This review traces the historical development of core methodologies such as randomized controlled trials (RCTs), explores modern innovations like adaptive, Bayesian, and platform designs, and discusses their strengths and limitations. It concludes with an analysis of current challenges and emerging trends, including the integration of artificial intelligence, big data, and personalized medicine, offering insights into the future of clinical trial methodology. Recent advancements highlight the role of decentralized and virtual trials, leveraging digital tools and data integration to streamline trial processes and improve accessibility. These innovations reflect a dynamic and rapidly evolving field, poised to transform healthcare and medical research in unprecedented ways.
Haoxuan Sun (Thu,) studied this question.