Discussion on deepseek-empowering standardized trainingof resident physicians
10.3969/j.issn.1671-332X.2025.05.027
- VernacularTitle:DeepSeek赋能住院医师规范化培训实践探讨
- Author:
Bo ZHANG
1
;
Yunjuan HE
1
;
Xinlong GU
1
;
Yifan WANG
1
Author Information
1. 安徽医科大学第二附属医院 安徽 合肥 230601
- Publication Type:Journal Article
- Keywords:
DeepSeek;
Artificial intelligence;
Medical education;
Resident physician;
Standardized training
- From:
Modern Hospital
2025;25(5):764-766,771
- CountryChina
- Language:Chinese
-
Abstract:
DeepSeek,a domestically developed generative artificial intelligence(AI)tool,is experiencing rapid growth within China's technological landscape.With its core advantages of open-source accessibility,cost-efficiency,vertical scenario specialization,and Chinese linguistic contextualization,it has been reconfiguring medical education.This development brings nu-merous innovative opportunities to postgraduate medical education,particularly in standardized training of resident physicians.On one hand,DeepSeek creates new possibilities for participants in residency training regarding knowledge acquisition,assisted learning,and teaching methodologies.On the other hand,its implementation raises concerns such as inadequate development of higher-order thinking skills,lack of realistic doctor-patient communication simulations,and diminished roles of clinical instruc-tors.Hospitals with a resident physician training base should promptly adapt to the new situation and move embrace intelligent de-velopment.By addressing the challenges posed by DeepSeek while fully utilizing emerging technologies,they can drive the high-quality development of standardized resident physician training.
