3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings
Neurological Research, 2026
Abstract
Introduction: AI-powered 3D interactive radiology reports represent a significant advance in clinical imaging, consolidating a patient's full imaging history into an accessible, intuitive visualisation. Despite their potential to benefit patients, referring physicians, and healthcare systems at large, a considerable gap remains between the development of such tools and their uptake in everyday clinical practice.
Methods: Researchers distributed a 15-question cross-sectional online survey on AI in radiology to physicians via professional networks and at a national neuroscience conference. Descriptive statistics were used to summarise responses, with group differences assessed using Chi-square or Fisher's exact tests as appropriate.
Results: Physicians working in hospital settings demonstrated notably greater willingness to adopt AI technologies in radiology compared with those in private practice. The authors identified several factors likely driving this divide, including differences in practice workflows, financial considerations, the nature of doctor–patient relationships, and how frequently physicians interact with radiology departments.
Conclusion: The practice environment plays a meaningful role in shaping physician attitudes toward AI radiology tools. For radiology directors and hospital administrators seeking to deploy solutions such as Jazz, understanding and addressing the structural and economic factors that influence clinician buy-in — particularly among private practitioners — will be essential to closing the implementation gap.
