Artificial Intelligence Adoption and Perspectives Among Turkish Radiologists: A National Survey

Abstract

Background: Artificial intelligence (AI) is rapidly transforming radiology worldwide, yet its adoption and perception among Turkish radiologists remain underexplored. Objectives: This study aimed to assess the frequency of AI tool usage among Turkish radiologists and to explore their perspectives on AI’s future role in radiology. Patients and Methods: A cross-sectional survey was conducted among 244 practicing radiologists across Turkey. The questionnaire collected data on demographics, AI knowledge and training, clinical use of AI tools, perceptions of AI’s usefulness and reliability, and legal and ethical considerations. Descriptive statistics and correlation analyses were performed. Results: Most participants reported basic knowledge of AI (59.8%), with only 38.1% having used AI tools clinically. A strong positive correlation was observed between AI knowledge and willingness to integrate AI into daily practice (ρ = 0.64, P < 0.001). The majority (79.9%) anticipated major changes in radiology due to AI within 10 years and believed AI would reduce workload (76.6%). Formal AI training was weakly correlated with the perceived reliability of AI tools (ρ = 0.175, P = 0.006). Legal responsibility for AI errors was predominantly attributed to software developers (61.1%). Conclusion: Turkish radiologists are optimistic about AI’s future in radiology but have limited clinical experience and knowledge. Targeted education and clear regulatory frameworks are essential to support effective and trusted AI integration.