The analysis of invention patents in the field of artificial intelligent medical devices.
10.7507/1001-5515.202407044
- Author:
Ting ZHANG
1
;
Juan CHEN
1
;
Yan LU
1
;
Dongzi XU
1
;
Shu YAN
1
;
Zhaolian OUYANG
1
Author Information
1. Institute of Medical Information / Medical Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, P. R. China.
- Publication Type:English Abstract
- Keywords:
Artificial intelligent medical devices;
Invention patents;
Patent analysis;
Technological innovation
- MeSH:
Artificial Intelligence;
Patents as Topic;
Humans;
Inventions;
China;
Brain-Computer Interfaces;
Telemedicine;
Equipment and Supplies;
Robotics;
Algorithms
- From:
Journal of Biomedical Engineering
2025;42(3):504-511
- CountryChina
- Language:Chinese
-
Abstract:
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.
