确定医学学生对人工智能的焦虑和准备程度
Gamze Özbek Güven1, Şerife Yilmaz2, Feyza Inceoğlu3
1Department of Medical History and Ethics, School of Medicine, Yuksek Ihtisas University, Ankara, Türkiye.
Heliyon
|February 22, 2024
概括
医学学生表现出高度的人工智能 (AI) 焦虑,但适度的人工智能准备. 研究结果揭示了一个反向关系,强调需要更好的AI准备和医疗教育课程整合.
科学领域:
- 医学教育 医学教育
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健,需要对医学学生的准备和态度进行评估.
- 了解医学学生对人工智能的焦虑和准备对于有效的采用和培训至关重要.
研究的目的:
- 为了确定医学生对人工智能的焦虑和准备程度.
- 检查医学学生中人工智能焦虑和人工智能准备之间的关系.
主要方法:
- 对542名医学学生 (2022年4月至6月) 进行的调查,使用AI焦虑和准备度量表.
- 通过SPSS v.25分析的数据,可靠性用Cronbach的α.
- 使用AMOS 24进行结构方程建模 (SEM) 用于分析关系.
主要成果:
- 医学学生报告说,他们对人工智能的焦虑程度很高.
- 在学生中观察到对人工智能的适度准备水平.
- 在AI准备和AI焦虑之间发现了反向相关性.
结论:
- 医学学生表现出显著的人工智能焦虑,以及适度的准备.
- 需要进行干预,以提高人工智能准备度,并减轻未来医生的焦虑.
- 建议将人工智能教育整合到医学课程中,以进行标准化的培训.
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