3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.

Authors

Anouk Weibel, Johanna Ospel, Paula Rossmüller, Evan Tan Tai Long, Philip Heesen, Katrine Madara Singer, Christian Federau, Zsolt Kulcsar, Nicolin Hainc

Published in

Neurological research. Pages 1-11. Aug 20, 2026. Epub Aug 20, 2026.

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%; 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).
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.

PMID:
42623348
Bibliographic data and abstract were imported from PubMed on 21 Aug 2026.

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