Introduction: This study aimed to investigate medical students' perceptions of the role of artificial intelligence (AI) in radiology and to analyze potential correlations between these perceptions and variables such as academic level, prior technical exposure, completion of a radiology internship, and future specialty interests. Methods: A descriptive cross-sectional survey was done with 538 medical students from different faculties in Türkiye. The questionnaire was designed to ascertain students' perceptions regarding AI's demographics, potential risks and clinical advantages, ethical considerations, and its anticipated impact on their career trajectories. Non-parametric statistical analyses were utilized to discern potential differences among subgroups according to their educational background and technical experience. Results: Participants generally viewed AI as a complementary tool rather than a replacement for radiologists, reaching a consensus on its potential to reduce diagnostic errors. Students in clinical years and those with prior AI exposure showed more nuanced perspectives on the technology's limitations. People also thought that interventional radiology was less likely to be fully automated. Individuals interested in the specialty were more inclined to possess knowledge of AI and believe that structured curriculum integration was essential. Conclusion: Medical students primarily perceive AI as a supplementary clinical tool rather than a direct replacement. Doctors' knowledge, ethical rules, and help from the government are likely all important for successful integration. Adding AI-related topics to radiology education could help future doctors make smart career choices as the field changes.
Yavaş et al. (2026) studied this question.