Perceptions of Artificial Intelligence in Radiology Education: A Survey-based Study

Abstract

Artificial Intelligence (AI) is rapidly transforming radiology practice and is expected to influence radiology education and professional competencies. However, the level of awareness, training and readiness among radiology students regarding AI integration remains uncertain. To assess the perceptions, familiarity, confidence and readiness of radiology students towards the incorporation of AI in radiology education. A cross-sectional survey-based study was conducted in December 2025 among 119 radiology students from various academic levels. A validated questionnaire comprising demographic details, current AI status, attitudes, concerns and training exposure was administered online. Descriptive statistics, including frequencies and percentages, were used to analyze categorical and ordinal Likert scale responses. The study population was predominantly undergraduate BSc radiology students, with females constituting 54.6% of participants. Most respondents reported moderate confidence (34.5%) and moderate familiarity (37.8%) with AI applications in radiology. A considerable proportion expressed slight to moderate concern (74.8%) about the impact of AI on future career prospects. Notably, 77.3% of students had not received formal training in AI, indicating a significant educational gap. Nearly half of the participants (48.8%) agreed that AI plays an important role in their radiology career, while 46.2% were uncertain about AI creating new career opportunities. Readiness to critically evaluate AI tools was mostly moderate (39.5%), with fewer participants demonstrating high preparedness. Radiology students exhibit moderate awareness and cautious optimism toward AI but lack formal training and high-level preparedness for clinical AI evaluation. Integrating structured AI education, practical training, and curriculum reform in radiology programs is essential to enhance competency, reduce uncertainty, and prepare students for AI-driven clinical practice.