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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Nicolin Hainc, Paula Roßmüller, Christian Federau, Johanna Ospel et al.
Neurological Research
Artificial Intelligence in Healthcare and Education
article

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

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

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.

Neurological Research
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)
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.