3D interactive radiology reports: referring physicians’ acceptance of artificial intelligence varies across practice settings
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.
Authors
- Nicolin Hainc (ORCID: https://orcid.org/0000-0003-0916-7387)
- Paula Roßmüller
- Christian Federau (ORCID: https://orcid.org/0000-0002-3803-6602)
- Johanna Ospel
- Evan Tan Tai Long
- Anouk Weibel
- Katrine Madara Singer
- Zsolt Kulcsar
- Philip Heesen
Institutions
- SingHealth (SG)
- University of Calgary (CA)
- University of Zurich (CH)
- Heidelberg University (DE)
- Kyoto Prefectural University of Medicine (JP)
- AG Medical (France) (FR)
- University Hospital of Zurich (CH)
- Technical University of Munich (DE)
Publication Details
- Journal
- Neurological Research
- Published
- 2026-08-20
- DOI
- https://doi.org/10.1080/01616412.2026.2721684
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00