An Innovative Advancement of Surgical and Interventional Radiology with Artificial Intelligence

The fields of surgical and interventional radiology are undergoing a transformative period, largely driven by the integration of Artificial Intelligence (AI). This article explores the current state, emerging applications, and future directions of AI in enhancing precision, safety, and efficiency within these disciplines. We delineate how AI, through machine learning, computer vision, and predictive analytics, is revolutionizing pre-operative planning, intra-operative guidance, post-operative assessment, and interventional procedures. Key areas of focus include automated image segmentation, real-time decision support, robotic assistance, and personalized treatment strategies, alongside a discussion of the challenges and ethical considerations inherent in this rapidly evolving domain.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-10-10
DOI
https://doi.org/10.21275/sr251005162414
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

An Innovative Advancement of Surgical and Interventional Radiology with Artificial Intelligence

V Subrahmanyam, M V Siva Prasad
International Journal of Science and Research (IJSR)
Medical Imaging and Analysis
article

An Innovative Advancement of Surgical and Interventional Radiology with Artificial Intelligence

V Subrahmanyam, M V Siva Prasad
article en

Abstract

The fields of surgical and interventional radiology are undergoing a transformative period, largely driven by the integration of Artificial Intelligence (AI). This article explores the current state, emerging applications, and future directions of AI in enhancing precision, safety, and efficiency within these disciplines. We delineate how AI, through machine learning, computer vision, and predictive analytics, is revolutionizing pre-operative planning, intra-operative guidance, post-operative assessment, and interventional procedures. Key areas of focus include automated image segmentation, real-time decision support, robotic assistance, and personalized treatment strategies, alongside a discussion of the challenges and ethical considerations inherent in this rapidly evolving domain.

International Journal of Science and Research (IJSR)
Openalex Percentile: Top 73%
Medical Imaging and Analysis
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