AI-Driven Advancements in Neuroradiology for Neurological Disorders
*Corresponding Author: Dr. Lucas Fontaine, Department of Neuroradiology, Sorbonne Medical University, France, Email: l.fontaine@neurofr.frReceived Date: Mar 03, 2025 / Published Date: Mar 31, 2025
Citation: Fontaine DL (2025) AI-Driven Advancements in Neuroradiology for Neurological Disorders. J Radiol 14: 668DOI: 10.4172/2167-7964.1000668
Copyright: © 2025 Dr. Lucas Fontaine This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited
Abstract
This research compilation explores recent advancements in neuroradiology, emphasizing the impact of artificial intelligence and sophisticated imaging techniques. It details AI’s role in enhancing diagnostic accuracy and efficiency for neurological conditions, alongside specialized MRI methods for early disease detection, characterization, and treatment planning. Key areas covered include Alzheimer’s disease, brain tumors, intracranial hemorrhage, white matter integrity assessment, and acute ischemic stroke management. The compilation also touches upon radiomics for prognostication and advanced imaging in chronic traumatic encephalopathy.
