Current applications and future prospects of artificial intelligence in personalized medical learning
10.3760/cma.j.cn114798-20250806-00942
- VernacularTitle:人工智能在医学个性化学习中的应用现状
- Author:
Bao′an HONG
1
;
Xuezhou ZHANG
;
Ning ZHANG
;
Xiaotian WEN
;
Zihao YANG
;
Tianxia QIN
;
Wen CHENG
;
Leyuan QI
Author Information
1. 首都医科大学附属北京安贞医院泌尿外科，北京 100029
- Publication Type:Journal Article
- Keywords:
Teaching;
Medicine;
Individual learning;
Artificial intelligence
- From:
Chinese Journal of General Practitioners
2025;24(10):1285-1289
- CountryChina
- Language:Chinese
-
Abstract:
With the advancement of the "New Medical Science" reform, the "Medicine+X" model has emerged as a key direction for the future development of medical education. Multidisciplinary integration places higher demands on both educators and students. Emerging technologies, such as intelligent tutoring systems, adaptive learning platforms, intelligent campus management systems, and ChatGPT, have made personalized learning possible. Such approaches offer notable advantages, including improving learning efficiency, enhancing motivation, eliminating the spatiotemporal constraints of clinical education, and alleviating teachers′ workloads. Nevertheless, the application of artificial intelligence in personalized medical education still faces multiple challenges, such as issues of data quality and reliability, the need for faculty development, shifts in educational paradigms, and ethical considerations. This study explored the current status of artificial intelligence in personalized medical education and offered recommendations to promote its development, including strengthening the integration of technology and education, enhancing the digital literacy of educators, establishing ethical guidelines, and fostering multi-stakeholder collaboration.
