AI应用趋势调研报告《临床试验人工智能应用现状:今日与未来》
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Medidata发布AI应用趋势调研报告报告:临床试验AI应用价值凸显,超七成用户反馈“达到或超预期”
Cai Jing Wang· 2025-12-11 09:49
Core Insights - The report by Medidata highlights the growing value of AI in clinical trials, particularly in patient recruitment, data management, operational cost control, and trial efficiency Group 1: AI Adoption and Impact - 93% of surveyed companies have adopted or plan to adopt AI technology, with 56% already applying it to some extent [1] - 73% of AI users believe that AI applications have met or exceeded expectations, leading to reinvestment of benefits into future trials [1] Group 2: Data Management and Quality - 70% of AI users apply AI in data collection and quality supervision, with 83% of respondents' companies utilizing AI for data collection and review [2] - Over two-thirds of respondents report significant improvements in data collection, quality supervision, and anomaly monitoring due to AI [2] Group 3: Trial Design and Optimization - 80% of AI users are applying AI tools in trial design and optimization, which traditionally takes months or years [3] - More than 70% of respondents believe AI has significantly benefited trial design and feasibility analysis [3]