3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.
TL;DR
Hospital physicians were more receptive for use of AI technologies in radiology compared to private practitioners, and practice patterns, economic factors, doctor-patient relationships, and frequency of interaction with the radiology department likely influence how AI use in radiology is perceived.
Abstract
INTRODUCTION A 3D interactive report is a state-of-the-art artificial intelligence (AI) tool that integrates a patient's imaging history into an intuitive visualisation. Yet, despite the many potential benefits to patients, referring physicians, and the healthcare system, a substantial gap exists between such AI developments and their clinical implementation. The goal of this study was to evaluate physicians' attitudes towards AI and their readiness to implement new AI-technologies in different practice settings.
Materials And Methods
A 15-question cross-sectional online survey addressing AI in Radiology was distributed to physicians through professional networks and at a national neuroscience conference. Results were summarized using descriptive statistics, as appropriate for the type and distribution of the data. Group comparisons were made using Chi-square or Fisher's test, as appropriate.
Results
75 physicians completed the survey between September-December 2025, 52 (69%) being hospital physicians and the rest private practitioners. Response rate was 17%. Hospital physicians were significantly more likely to implement a 3D interactive report in daily practice (Hospital: 82.4% vs. Private Practice: 36.8%; p < 0.001). Private practitioners more often believed that of AI-based radiology aids must be explicitly disclosed (82.6%), compared to hospital physicians (76.9%; p = 0.007).
Conclusion
Hospital physicians were more receptive for use of AI technologies in radiology compared to private practitioners. Practice patterns, economic factors, doctor-patient relationships, and frequency of interaction with the radiology department likely influence how AI use in radiology is perceived.