Research on teaching practice of generative artificial intelligence empowering Medical Immunology
10.3969/j.issn.1000-484X.2025.06.006
- VernacularTitle:生成式人工智能赋能医学免疫学教学实践研究
- Author:
Qing GUAN
1
;
Ping LU
1
;
Xu HAN
1
;
Tingting LI
1
Author Information
1. 哈尔滨医科大学大庆校区,大庆 163319
- Publication Type:Journal Article
- Keywords:
Generative artificial intelligence;
Medical Immunology;
Teaching practice
- From:
Chinese Journal of Immunology
2025;41(6):1306-1309,1314
- CountryChina
- Language:Chinese
-
Abstract:
With rapid development of technology,generative artificial intelligence has emerged as a research hotspot in field of artificial intelligence,and demonstrates immense potential to enhance quality of medical education,reduce educational costs,and optimize allocation of educational resources in medical education.Medical Immunology is a complex and continuously evolving disci-pline that not only encompasses a vast amount of basic knowledge but also involves interdisciplinary intersections,which involves extensive foundational knowledge,cross-disciplinary integration and cutting-edge research.Furthermore,rapid updates in research progress,coupled with abstract and complex nature of content,pose significant challenges for teaching.Therefore,analyzing teaching advantages of generative artificial intelligence in empowering Medical Immunology,exploring its practical applications in Medical Immunology education,and innovating theoretical education systems and methodologies are of great significance for improving quality of Medical Immunology education.
