Research on the current status of artificial intelligence empowering higher medical education
10.3760/cma.j.cn116021-20241208-01989
- VernacularTitle:人工智能赋能高等医学教育的现状调查
- Author:
Lei FENG
1
;
Haoze ZHOU
1
;
Jiajia HOU
1
Author Information
1. 浙江大学医学院附属第二医院眼科中心，杭州 310009
- Publication Type:Journal Article
- Keywords:
Medical education;
New Medicine;
Artificial intelligence;
Talent cultivation
- From:
Chinese Journal of Medical Education Research
2025;24(8):1022-1031
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The New Medicine is an emerging field of medicine that integrates traditional medicine with artificial intelligence (AI) and big data. Under the background of New Medicine, this study aims to explore the application of AI in medical higher education, investigate the development status of universities in this field, and propose targeted optimization suggestions, with the purpose of providing a reference for improving medical education quality and cultivating outstanding doctors.Methods:In each of the six administrative divisions of China, a key university and a general university were randomly selected as research objects. Two researchers with teaching experience conducted a search on the official websites of these universities, using "artificial intelligence" as the keyword. They retrieved publicly available information from January 1, 2020 to December 18, 2024, and screened for the content related to medical teaching. The data of these universities were organized and summarized based on five categories: courses, training, teaching platforms, conferences, and lectures.Results:After a series of searches, screenings, and summaries, the researchers identified a total of 58 AI-related projects applied in medical education across the five areas of courses, training, teaching platforms, conferences, and lectures. Of these, 34 projects came from six key universities, and 24 projects were from six general universities. Key universities have demonstrated the advantages in multidisciplinary integration, technology-driven approaches, and international perspectives through systematic curriculum design (e.g., multi-level AI course at Zhejiang University), intelligent teaching assistant tools (e.g., "Brainiac Buddy" at Peking University), and international visiting programs (e.g., AI Summer Visting Program at Zhejiang University). General universities implemented practices such as knowledge graphs, 5G smart platforms, and virtual simulation courses (e.g., "medical image processing" course at Southwest Medical University), achieving multi-level capability enhancement from basic medical education to health management skill education, as well as significant outcomes in "health-centered" and "education model innovation".Conclusions:AI-powered medical education has shown great innovation potential in Chinese universities, with unique development characteristics at different universities.
