Research hotspots and visual analysis on the medical artificial intelligence ethics at home and abroad
10.12026/j.issn.1001-8565.2026.03.02
- VernacularTitle:国内外医疗人工智能伦理研究热点及可视化分析
- Author:
Mengze LYU
1
;
Hongji LIN
1
;
Ya’nan BA
1
;
Yan ZHANG
2
;
Jin XIE
3
;
Yun LIU
3
Author Information
1. School of Basic Medicine， Hebei Medical University， Shijiazhuang 050017， China
2. School of Pharmacy， Hebei Medical University， Shijiazhuang 050017， China
3. School of Marxism/Medicine-education Coordination and Medical Education Research Center， Hebei Medical University， Shijiazhuang 050017， China
- Publication Type:Journal Article
- Keywords:
medical artificial intelligence;
ethical governance;
visual analysis
- From:
Chinese Medical Ethics
2026;39(3):287-299
- CountryChina
- Language:Chinese
-
Abstract:
To conduct a bibliometric and keyword analysis on the domestic and international literature of medical artificial intelligence （AI） ethics， explore the research frontiers， hotspots， and development trends in this field， and provide references for promoting the construction of China’s ethical governance system on medical AI. Utilizing CiteSpace software， a comparative analysis was conducted between the reviewed domestic and international literature regarding their publication volume， author and institutional collaboration networks， as well as keyword co-occurrence， clustering， timeline graph， and burst， to explore the research hotspots and development trends in the field. A total of 2 393 Chinese and English publications were included. In recent years， research topics in medical AI ethics both domestically and internationally focused on three aspects， encompassing their theoretical research， emerging domains and their ethical risks， as well as the ethical governance and regulation of medical AI. International research hotspots included federated learning， computer-aided detection， informed consent， and other aspects， whereas domestic research hotspots were smart healthcare， responsibility ethics， ethical values， and other aspects. Internationally， greater attention was placed on ethical issues concerning population health and healthcare in the public health domain， whereas domestic research topics tended to focus more on theoretical discussions and the establishment of ethical principles. The ethical governance of medical AI represents a shared global challenge， necessitating enhanced research into both the variances and commonalities in this field.
