Exploring the application of large language models in clinical transfusion medicine teaching
10.13303/j.cjbt.issn.1004-549x.2025.10.024
- VernacularTitle:大语言模型在临床输血学教学中的应用
- Author:
Yuanqing YANG
1
;
Yongjun WANG
1
;
Ningjie ZHANG
1
;
Jie SHI
1
Author Information
1. Department of Blood Transfusion, The Second Xiangya Hospital, Central South University, Changsha 410011, China
- Publication Type:Journal Article
- Keywords:
generative artificial intelligence;
large language model;
clinical transfusion medicine;
medical teaching
- From:
Chinese Journal of Blood Transfusion
2025;38(10):1457-1464
- CountryChina
- Language:Chinese
-
Abstract:
Integrating the characteristics of Clinical Transfusion Medicine teaching, this paper systematically expounds on the current application status of the LLM in medical teaching, analyzes its advantages in areas including virtual case simulation, operational skill simulation, dynamic knowledge integration and personalized learning support, explores the design of its application scenarios and implementation pathways in Clinical Transfusion Medicine teaching, and examines the challenges it faces, including knowledge accuracy, ethical norms, and the transformation of teachers' roles, and corresponding countermeasures. It aims to provide a theoretical basis and practical reference for the digital transformation and quality improvement of Clinical Transfusion Medicine teaching.
