Lu Yan, Chen Juan, Zhang Ting, Yan Shu, Xu Dongzi, Ouyang Zhaolian
Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):512-519. doi: 10.7507/1001-5515.202408035.
The rapid development of artificial intelligence technology is driving profound changes in medical practice, particularly in the field of medical device application. Based on data from the U.S. clinical trials registry, this study analyzes the global registration landscape of clinical trials involving artificial intelligence-based medical devices, aiming to provide a reference for their clinical research and application. A total of 2 494 clinical trials related to artificial intelligence medical devices have been registered worldwide, with participation from 66 countries or regions. The United States leads with 908 trials, while for other countries or regions, including China, each has fewer than 300 trials. Germany, the United States, and Belgium serve as central hubs for international collaboration. Among the sponsors, 63.96% are universities or hospitals, 22.36% are enterprises, and the remainder includes individuals, government agencies and others. Of all trials, 79.99% are interventional studies, 94.67% place no restrictions on participant gender, and 69.69% exclude children. The targeted diseases are primarily neurological and mental disorders. This study systematically reveals the global distribution characteristics and research trends of artificial intelligence medical device clinical trials, offering valuable data support and practical insights for advancing international collaboration, resource allocation, and policy development in this field.
人工智能技术的快速发展正在推动医学实践发生深刻变革,尤其是在医疗设备应用领域。基于美国临床试验注册中心的数据,本研究分析了涉及人工智能医疗设备的临床试验的全球注册情况,旨在为其临床研究和应用提供参考。全球共注册了2494项与人工智能医疗设备相关的临床试验,有66个国家或地区参与其中。美国以908项试验领先,而包括中国在内的其他国家或地区,每个国家或地区的试验数量都少于300项。德国、美国和比利时是国际合作的核心枢纽。在申办者中,63.96%是大学或医院,22.36%是企业,其余包括个人、政府机构等。在所有试验中,79.99%是干预性研究,94.67%对参与者性别没有限制,69.69%排除儿童。目标疾病主要是神经和精神障碍。本研究系统地揭示了人工智能医疗设备临床试验的全球分布特征和研究趋势,为推动该领域的国际合作、资源分配和政策制定提供了有价值的数据支持和实践见解。