Tele-Radiology: Revolutionizing Access, Diagnosis, and Training
*Corresponding Author: Dr. Farah Rahman, Department of Tele-Radiology, University of Malaya, Malaysia, Email: f.rahman@telerad.myReceived Date: Jun 03, 2025 / Published Date: Jun 30, 2025
Citation: Rahman DF (2025) Tele-Radiology: Revolutionizing Access, Diagnosis, and Training. J Radiol 14: 698.DOI: 10.4172/2167-7964.1000698
Copyright: © 2025 Dr. Farah Rahman 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
Tele-radiology is significantly transforming medical imaging through remote interpretation, enhancing access to expert diagnoses and improving turnaround times, particularly in underserved regions. Advancements in AI integration and secure cloud-based platforms are streamlining workflows and data sharing. Despite challenges in regulation, image quality, and radiologist-patient connection, its impact on healthcare is positive. Cloud technology provides scalable, secure data management, while AI assists in diagnosis and case prioritization. Robust cybersecurity and standardized protocols are essential for effective operation, and the evolving role of radiologists necessitates new skill sets. Tele-radiology also offers improved opportunities for resident training.
