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ChatGPT在本科核医学教育中的当前应用:以重庆医科大学为例。

Current application of ChatGPT in undergraduate nuclear medicine education: Taking Chongqing Medical University as an example.

作者信息

Deng Ailin, Chen Wenyi, Dai Jinjie, Jiang Liu, Chen Yicai, Chen Yuhua, Jiang Jinyan, Rao Maohua

机构信息

Department of Nuclear Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Clinical Medicine, Chongqing Medical University, Chongqing, China.

出版信息

Med Teach. 2025 Jun;47(6):997-1003. doi: 10.1080/0142159X.2024.2399673. Epub 2024 Sep 21.

Abstract

BACKGROUND

Nuclear Medicine(NM), as an inherently interdisciplinary field, integrates diverse scientific principles and advanced imaging techniques. The advent of ChatGPT, a large language model, opens new avenues for medical educational innovation. With its advanced natural language processing abilities and complex algorithms, ChatGPT holds the potential to substantially enrich medical education, particularly in NM.

OBJECTIVE

To investigate the current application of ChatGPT in undergraduate Nuclear Medicine Education(NME).

METHODS

Employing a mixed-methods sequential explanatory design, the research investigates the current status of NME, the use of ChatGPT and the attitude towards ChatGPT among teachers and students in the Second Clinical College of Chongqing Medical University.

RESULTS

The investigation yields several salient findings: (1) Students and educators in NM face numerous challenges in the learning process; (2) ChatGPT is found to possess significant applicability and potential benefits in NME; (3) There is a pronounced inclination among respondents to adopt ChatGPT, with a keen interest in its diverse applications within the educational sphere.

CONCLUSION

ChatGPT has been utilized to address the difficulties faced by undergraduates at Chongqing Medical University in NME, and has been applied in various aspects to assist learning. The findings of this survey may offer some insights into how ChatGPT can be integrated into practical medical education.

摘要

背景

核医学作为一个本质上跨学科的领域,整合了多种科学原理和先进的成像技术。大型语言模型ChatGPT的出现为医学教育创新开辟了新途径。凭借其先进的自然语言处理能力和复杂的算法,ChatGPT有潜力极大地丰富医学教育,尤其是在核医学领域。

目的

探讨ChatGPT在本科核医学教育中的应用现状。

方法

采用混合方法序列解释性设计,研究重庆医科大学第二临床学院师生在核医学教育方面的现状、ChatGPT的使用情况以及对ChatGPT的态度。

结果

调查得出了几个显著发现:(1)核医学专业的学生和教育工作者在学习过程中面临诸多挑战;(2)发现ChatGPT在核医学教育中具有显著的适用性和潜在益处;(3)受访者明显倾向于采用ChatGPT,对其在教育领域的各种应用有着浓厚兴趣。

结论

ChatGPT已被用于解决重庆医科大学本科生在核医学教育中面临的困难,并已在各个方面应用于辅助学习。本次调查结果可能为如何将ChatGPT融入实际医学教育提供一些见解。

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