Background and Aims: The integration of artificial intelligence (AI) into medical education, research, and healthcare requires assessing medical students’ readiness to adopt AI-based technologies. This study aimed to evaluate medical students' AI readiness to work with medical AI technology. Methods: This cross-sectional study was conducted among medical sciences students using the online Persian version of the MAIRS-MS questionnaire, whose validity and reliability were confirmed in Hossein Rezazadeh study. The questionnaire utilized a five-point Likert scale ranging from “strongly agree” to “strongly disagree.” The scoring system was structured as follows: Cognition Factor (Items ۱-۸, Min: ۸, Max: ۴۰ points), Ability Factor (Items ۹-۱۶, Min: ۸, Max: ۴۰ points), Vision Factor (Items ۱۷-۱۹, Min: ۳, Max: ۱۵ points), Ethics Factor (Items ۲۰-۲۲, Min: ۳, Max: ۱۵ points) and total Readiness score (Items ۱-۲۲) ranged from a minimum of ۲۲ to a maximum of ۱۱۰ points. Statistical analyses were performed to examine differences in readiness scores based on demographic variables. Results: A total of ۱۲۳ medical students participated (mean age = ۲۲.۴۵, SD = ۳.۵). Of them, ۵۹.۴% were female, ۴۰.۶% male. Additionally, ۲۷.۱% were general medical doctorate (MD) and ۶۹.۹% bachelor's students. The overall mean MAIRS-MS score was ۶۹.۱۸ (SD = ۱۵). The mean scores of cognitive, competency, vision and ethics domains were (۲۲.۸۱, SD = ۶.۰۱), (۲۶.۵۵, SD = ۶.۰۴), (۹.۰۷, SD = ۲.۷۲), and (۱۰.۷۳, SD = ۲.۴۹) respectively. No significant correlation was found between total readiness scores and age, gender, or field of study. However, bachelor's degree students had significantly higher scores (M = ۶۹.۳۳, SD = ۱۵.۴۲) than MD students (M = ۶۸.۷۳, SD = ۱۴.۸۰). Additionally, the average score that students assigned to their readiness for using Ai in education, research, and services on a ۱۰-point scale was ۵.۳۰ (SD = ۲.۳۵). Conclusion: Students have a positive vision on AI applications in healthcare and consider themselves committed to ethical and legal principles. However, cognitive and
