Student Committee of Medical Education Development, Education Development Center, Kerman University of Medical Sciences, Kerman, Iran.
Community Medicine Department, School of Medicine, Medical Education Leadership and Management Research Center, Kerman University of Medical Sciences, Kerman, Iran.
BMC Med Educ. 2023 Jul 24;23(1):527. doi: 10.1186/s12909-023-04516-6.
Artificial intelligence's advancement in medicine and its worldwide implementation will be one of the main elements of medical education in the coming years. This study aimed to translate and psychometric evaluation of the Persian version of the medical artificial intelligence readiness scale for medical students.
The questionnaire was translated according to a backward-forward translation procedure. Reliability was assessed by calculating Cronbach's alpha coefficient. Confirmatory Factor Analysis was conducted on 302 medical students. Content validity was evaluated using the Content Validity Index and Content Validity Ratio.
The Cronbach's alpha coefficient for the whole scale was found to be 0.94. The Content Validity Index was 0.92 and the Content Validity Ratio was 0.75. Confirmatory factor analysis revealed a fair fit for four factors: cognition, ability, vision, and ethics.
The Persian version of the medical artificial intelligence readiness scale for medical students consisting of four factors including cognition, ability, vision, and ethics appears to be an almost valid and reliable instrument for the evaluation of medical artificial intelligence readiness.
人工智能在医学领域的发展及其在全球范围内的应用将成为未来几年医学教育的主要内容之一。本研究旨在翻译并对医学生医学人工智能准备量表的波斯版本进行心理计量学评估。
根据反向翻译程序对问卷进行翻译。使用克朗巴赫α系数评估信度。对 302 名医学生进行验证性因子分析。使用内容效度指数和内容效度比评估内容效度。
整个量表的克朗巴赫α系数为 0.94。内容效度指数为 0.92，内容效度比为 0.75。验证性因子分析显示，四个因素（认知、能力、愿景和伦理）具有较好的拟合度。
由认知、能力、愿景和伦理四个因素组成的医学生医学人工智能准备量表的波斯文版本，似乎是评估医学人工智能准备情况的一个近乎有效和可靠的工具。
