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VOL. 7, ISSUE 2 (2025)
The computational and technological vanguard: A review of transformative frontiers in modern radiology
Authors
Bharvi Joshi, Pratik Virat, Sandeep Kumar
Abstract
Radiology stands at an inflection point, transitioning from a
discipline primarily focused on qualitative image interpretation to a
data-driven science underpinning precision medicine. This review article
synthesizes the high-impact technological and computational advancements that
define this new era, often termed "Radiology 2.0." The convergence of
Artificial Intelligence (AI), revolutionary hardware modalities such as
Ultra-High-Field Magnetic Resonance Imaging (UHF-MRI) and Photon-Counting
Computed Tomography (PCCT), and the fusion of diagnostics with therapeutics
through Theranostics, fundamentally alters clinical practice. AI, encompassing
deep learning and Natural Language Processing (NLP), is optimizing workflow
efficiency and pioneering non-invasive prediction models through radiogenomics.
Simultaneously, advanced hardware provides unprecedented anatomical and
functional fidelity, with 7T MRI enhancing neurosurgical planning and PCCT
enabling reduced radiation dose and superior spectral quantification. However,
the successful integration of these innovations is contingent upon navigating
systemic challenges, including the imperative for Explainable AI (XAI), the
mitigation of algorithmic bias through diverse data governance, and the
establishment of robust, harmonized regulatory frameworks. This review
concludes that the radiologist’s role is evolving into a critical diagnostic
and therapeutic consultant, demanding proficiency in both clinical expertise
and complex data synthesis to ensure equitable and precise patient care.
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Pages:43-48
How to cite this article:
Bharvi Joshi, Pratik Virat, Sandeep Kumar "The computational and technological vanguard: A review of transformative frontiers in modern radiology". International Journal of Radiology Research, Vol 7, Issue 2, 2025, Pages 43-48
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