3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.
Authors
Affiliations (8)
Affiliations (8)
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital of Zurich, Zurich, Switzerland.
- Department of Radiology, University of Calgary, Alberta, Canada.
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.
- Department of Diagnostic Radiology, Changi General Hospital, SingHealth Services, Singapore.
- Department of Neuroradiology, Heidelberg University, Heidelberg, Germany.
- Department of Biostatistics at the Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
- AI Medical AG, Zollikon, Switzerland.
- Department of Radiology, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Abstract
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. 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. 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%; <i>p</i> < 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%; <i>p</i> = 0.007). 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.