فهرست نشریات علمی دسترسی آزاد ایران

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. 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.