Modern radiodiagnosis redefining diagnostic accuracy in healthcare: A narrative review


Review Article

Author Details : Namdev Seth, Srishti Sharma, Saumya Verma, Dushyant Kumar Varshney, Preeti Kale*

Volume : 10, Issue : 4, Year : 2024

Article Page : 144-148

https://doi.org/10.18231/j.ijmi.2024.031



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Abstract

Radiodiagnosis has undergone a transformative evolution in recent years, redefining diagnostic accuracy and reshaping healthcare practices. This review explores the integration of advanced imaging modalities, cutting-edge technologies, and artificial intelligence in modern radiodiagnostic workflows. Key advancements, such as high-resolution imaging, functional studies, and AI-driven decision support systems, have enhanced diagnostic precision, improved patient outcomes, and streamlined clinical processes. Additionally, the article examines challenges, including data management, ethical considerations, and the need for specialized training. By bridging technological innovation with clinical expertise, modern radiodiagnosis continues to set new benchmarks in early detection, personalized treatment, and the overall quality of healthcare delivery.
 

Keywords: Artificial intelligence, Diagnosis, Healthcare, Radiology.


How to cite : Seth N, Sharma S, Verma S, Varshney D K, Kale P, Modern radiodiagnosis redefining diagnostic accuracy in healthcare: A narrative review. IP Int J Maxillofac Imaging 2024;10(4):144-148


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 29-10-2024

Accepted : 01-12-2024


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https://doi.org/ 10.18231/j.ijmi.2024.031


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