ATTITUDES OF MEDICAL STUDENTS TOWARD ARTIFICIAL INTELLIGENCE AND THEIR READINESS FOR MEDICAL ARTIFICIAL INTELLIGENCE

Çağatay Han TÜRKSEVEN, Betül SARI, Halil Can AYDEMİR, Mehmet ŞENGÜL, Melisa MIZRAK

Journal of Health Sciences and Medicine - 2026;9(4):953-960

Department of Biophysics, Faculty of Medicine, Mersin University, Mersin, Turkiye

 

Aims: Artificial Intelligence (AI) is increasingly integrated into healthcare; however, how medical students' attitudes toward AI relate to perceived readiness for AI-integrated practice remains unclear. Methods: This cross-sectional study surveyed 359 undergraduate medical students in Mersin, Turkiye using the General Attitudes Toward Artificial Intelligence Scale (GAAIS) and the Medical AI Readiness Scale for Medical Students (MAIRS-MS). Results: Students reported generally favorable attitudes and moderate-to-high readiness across cognitive, skill, foresight, and ethical domains. Positive AI attitudes correlated with all readiness domains and were statistically associated with higher readiness in multiple linear regression analyses (beta=0.193-0.463, p<0.001). Negative attitudes were not correlated with readiness but showed small associations with cognitive and foresight readiness (beta=0.111-0.117, p<0.05). Following AI-related news was associated with higher attitudes and readiness, whereas ChatGPT use was not. Conclusion: These findings suggest that positive orientation toward AI co-occurs with higher perceived readiness.