aceRedefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape. It traces the evolution of radiology, from the initial discovery of X-rays to the application of machine learning and deep learning in modern medical image analysis. The primary focus of this review is to shed light on AI applications in radiology, elucidating their seminal roles in image segmentation, computer-aided…
AI tools in radiology are described as playing key roles in image segmentation, computer-aided diagnosis, predictive analytics and workflow optimisation, with effects on diagnostics and personalised medicine.
The supplied text describes case-study evidence and a forward-looking argument but gives no quantitative results, and it names unresolved challenges such as data quality, model opacity and ethics.
Evidence
- Peer-reviewedDiagnostics2023-08-25
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Truvace Impact Record TRV-2026-1906, v1: “Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging.” Truvace, 2026-10-19. /record/TRV-2026-1906 (accessed at citation time). sha256 7d7bc2951468f6c5…
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