2024-12-22-世界经济论坛-智能临床试验_使用生成性人工智能快速跟踪治疗创新（英）_20页_980kb

This white paper explores the use of Generative AI (Gen AI) to transform clinical trials, aiming to accelerate therapeutic innovations and reduce costs and failure rates. It highlights five key use cases: optimizing clinical trial design, automating regulatory submissions, enhancing data analysis, improving trial feasibility and site selection, and streamlining patient recruitment. Despite these potentials, significant barriers exist, including fragmented and low-quality data, regulatory uncertainties, and a lack of trust. Recommendations emphasize creating data standards, developing data-sharing incentives, and fostering collaborations for AI implementation. The paper concludes that without an AI-driven revolution in clinical development, global health risks increased costs and delays in accessing new treatments.