Psychometric Evaluation of Medical Artificial Intelligence Readiness Scale for Medical Students

Background: Due to the progress of artificial intelligence in medicine and its worldwide application,it is expected that artificial intelligence will be one of the main elements of medicaleducation in the coming years. This study aimed to translation and psychometric evaluation of thePersian version of medical artificial intelligence readiness scale for medical students.Methods: The translation of the questionnaire was done according to backward-forward translationprocedure. Reliability was examined by calculating Cronbach’s alpha coefficient. Exploratoryfactor analysis and Confirmatory Factor Analysis was studied among ۳۰۰ medical students.Content validity was assessed by calculating Content Validity Index and Content Validity Ratio.Results: Cronbach’s alpha coefficient for the whole scale was ۰.۹۴. Content Validity Index was۰/۹۲ and Content Validity Ratio was ۰/۷۵. Exploratory factor analysis showed that the sample sizewas appropriate. Confirmatory factor analysis resulted the goodness of fit indices and the scalewas confirmed with four factors including cognition, ability, vision and ethics.Conclusion: The Persian version of the medical artificial intelligence readiness scale for medicalstudents with four factors including cognition, ability, vision and ethics appears to be a valid andreliable instrument for the evaluation of medical artificial intelligence readiness.