Özbek Güven Gamze, Yilmaz Şerife, Inceoğlu Feyza
Department of Medical History and Ethics, School of Medicine, Yuksek Ihtisas University, Ankara, Türkiye.
Department of Medical History and Ethics, School of Medicine, Harran University, Şanlıurfa, Türkiye.
Heliyon. 2024 Feb 9;10(4):e25894. doi: 10.1016/j.heliyon.2024.e25894. eCollection 2024 Feb 29.
The aim of this study is to determine the levels of anxiety and readiness among medical students regarding artificial intelligence (AI) and examine the relationship between these factors. The research was conducted on medical students, and the data was collected through face-to-face and online surveys between April and June 2022. The study utilized a socio-demographic information form, an AI anxiety scale, and a medical AI readiness scale. The data collected from a total of 542 students were analyzed using the Statistical Program for Social Sciences (SPSS) version 25. Cronbach's α coefficient was used for reliability analysis. A path diagram was created using AMOS 24, and structural equation modelling (SEM) analysis was applied. The findings of the study indicate that medical students have a moderate level of readiness and a high level of anxiety regarding AI. Furthermore, an inverse relationship was found between AI readiness and AI anxiety. These results highlight the importance of increasing the preparedness of medical students for AI applications and reducing their anxieties. The study suggests the inclusion of AI in the medical curriculum and the development of a standardized curriculum to facilitate its teaching.
本研究的目的是确定医学生对人工智能(AI)的焦虑水平和准备程度,并检验这些因素之间的关系。该研究以医学生为对象,于2022年4月至6月通过面对面和在线调查收集数据。该研究使用了一份社会人口信息表、一份AI焦虑量表和一份医学AI准备度量表。从总共542名学生收集的数据使用社会科学统计程序(SPSS)25版进行分析。Cronbach's α系数用于可靠性分析。使用AMOS 24创建路径图,并应用结构方程模型(SEM)分析。研究结果表明,医学生对AI的准备程度中等,但焦虑程度较高。此外,还发现AI准备程度与AI焦虑之间存在负相关关系。这些结果凸显了提高医学生对AI应用的准备程度并减轻其焦虑的重要性。该研究建议将AI纳入医学课程,并制定标准化课程以促进其教学。