Copyright
©The Author(s) 2025.
World J Radiol. Dec 28, 2025; 17(12): 115388
Published online Dec 28, 2025. doi: 10.4329/wjr.v17.i12.115388
Published online Dec 28, 2025. doi: 10.4329/wjr.v17.i12.115388
Table 1 Roadmap for the integration of artificial intelligence tools in emergency imaging
| Phase | Focus | Objectives |
| Foundation | Accuracy, integration, and reporting | Clinical validation, real-time workflow integration, structured reporting, explainability |
| Expansion | Functionality and decision support | Broader coverage of emergent findings, triage tools, risk stratification, and follow-up tracking |
| Automation | Workflow optimization and customization | Automated notifications, user-defined outputs, prior study comparison, voice interface |
| Continuous learning | Adaptive integration and governance | Model updating, multi-modal data use, regulatory oversight, educational support |
- Citation: Centini FR, Fedorov D, Perera Molligoda Arachchige AS. Radiologists’ perspectives on the use of artificial intelligence in emergency radiology: A pilot survey. World J Radiol 2025; 17(12): 115388
- URL: https://www.wjgnet.com/1949-8470/full/v17/i12/115388.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i12.115388
