Zhang Ting, Chen Juan, Lu Yan, Xu Dongzi, Yan Shu, Ouyang Zhaolian
Institute of Medical Information / Medical Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):504-511. doi: 10.7507/1001-5515.202407044.
The emergence of new-generation artificial intelligence technology has brought numerous innovations to the healthcare field, including telemedicine and intelligent care. However, the artificial intelligent medical device sector still faces significant challenges, such as data privacy protection and algorithm reliability. This study, based on invention patent analysis, revealed the technological innovation trends in the field of artificial intelligent medical devices from aspects such as patent application time trends, hot topics, regional distribution, and innovation players. The results showed that global invention patent applications had remained active, with technological innovations primarily focused on medical image processing, physiological signal processing, surgical robots, brain-computer interfaces, and intelligent physiological parameter monitoring technologies. The United States and China led the world in the number of invention patent applications. Major international medical device giants, such as Philips, Siemens, General Electric, and Medtronic, were at the forefront of global technological innovation, with significant advantages in patent application volumes and international market presence. Chinese universities and research institutes, such as Zhejiang University, Tianjin University, and the Shenzhen Institute of Advanced Technology, had demonstrated notable technological innovation, with a relatively high number of patent applications. However, their overseas market expansion remained limited. This study provides a comprehensive overview of the technological innovation trends in the artificial intelligent medical device field and offers valuable information support for industry development from an informatics perspective.
新一代人工智能技术的出现给医疗保健领域带来了诸多创新,包括远程医疗和智能护理。然而,人工智能医疗设备领域仍面临重大挑战,如数据隐私保护和算法可靠性。本研究基于发明专利分析,从专利申请时间趋势、热点话题、区域分布和创新主体等方面揭示了人工智能医疗设备领域的技术创新趋势。结果表明,全球发明专利申请一直保持活跃,技术创新主要集中在医学图像处理、生理信号处理、手术机器人、脑机接口和智能生理参数监测技术等方面。美国和中国在发明专利申请数量上领先世界。飞利浦、西门子、通用电气和美敦力等国际主要医疗设备巨头处于全球技术创新的前沿,在专利申请量和国际市场占有率方面具有显著优势。浙江大学、天津大学和深圳先进技术研究院等中国高校和科研机构已展现出显著的技术创新能力,专利申请数量相对较多。然而,它们在海外市场的拓展仍然有限。本研究全面概述了人工智能医疗设备领域的技术创新趋势,并从信息学角度为行业发展提供了有价值的信息支持。