[Analysis of the global registration status of clinical trials for artificial intelligence medical device].

Q4 Medicine
Yan Lu, Juan Chen, Ting Zhang, Shu Yan, Dongzi Xu, Zhaolian Ouyang
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引用次数: 0

Abstract

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.

【全球人工智能医疗器械临床试验注册现状分析】。
人工智能技术的快速发展正在推动医疗实践,特别是医疗器械应用领域的深刻变革。本研究基于美国临床试验注册数据,分析全球人工智能医疗器械临床试验注册格局,旨在为其临床研究和应用提供参考。全球累计注册人工智能医疗器械相关临床试验2494项,参与国家和地区66个。美国以908项试验领先,而其他国家或地区,包括中国,每个国家或地区的试验都不到300项。德国、美国和比利时是国际合作的中心枢纽。在赞助者中,63.96%是大学或医院,22.36%是企业,其余包括个人、政府机构和其他。在所有试验中,79.99%为干预性研究,94.67%对受试者性别没有限制,69.69%排除儿童。目标疾病主要是神经和精神障碍。本研究系统揭示了人工智能医疗器械临床试验的全球分布特征和研究趋势,为推进该领域的国际合作、资源配置和政策制定提供了有价值的数据支持和实践见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
生物医学工程学杂志
生物医学工程学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
4868
期刊介绍:
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