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

IF 3.3 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES Medical Teacher Pub Date : 2024-09-21 DOI:10.1080/0142159X.2024.2399673
Ailin Deng, Wenyi Chen, Jinjie Dai, Liu Jiang, Yicai Chen, Yuhua Chen, Jinyan Jiang, Maohua Rao
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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.

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ChatGPT 在核医学本科教育中的应用现状:以重庆医科大学为例。
背景:核医学(NM)作为一个固有的跨学科领域,融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 有可能极大地丰富医学教育,尤其是北医教育:调查 ChatGPT 在核医学本科教育(NME)中的应用现状:方法:采用混合方法序列解释设计,调查重庆医科大学第二临床医学院师生的核医学教育现状、ChatGPT 的使用情况以及对 ChatGPT 的态度:调查得出了几个突出的结论:(1)非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)ChatGPT 在非医学专业中具有显著的适用性和潜在优势;(3)受访者对采用 ChatGPT 有明显的倾向,并对其在教育领域的多样化应用抱有浓厚的兴趣:ChatGPT 已被用于解决重庆医科大学本科生在非医学专业学习中面临的困难,并在多方面应用于辅助学习。本次调查的结果可为如何将 ChatGPT 融入实际医学教育提供一些启示。
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来源期刊
Medical Teacher
Medical Teacher 医学-卫生保健
CiteScore
7.80
自引率
8.50%
发文量
396
审稿时长
3-6 weeks
期刊介绍: Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
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