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Dr. S.Jayasankari

Dr. S.D.Govardhan

Dr. Neha Pradyumna Bora

Ramesh Kumar A

Dr. Rahul S G

Dr. V.Saravanan

Abstract

The rapid advancements in Artificial Intelligence (AI) have revolutionized various sectors, with healthcare being a major beneficiary. Specifically, deep learning (DL) models have emerged as a transformative force in medical image analysis, enabling enhanced diagnostic accuracy, early disease detection, and personalized treatment planning. This review paper provides a comprehensive analysis of the current state of deep learning models employed in medical image analysis. We examine the architectural advancements, applications, challenges, and future directions, with a focus on how these models are reshaping healthcare delivery. The paper also explores the potential of deep learning in improving healthcare accessibility and outcomes, providing insights into the integration of AI in clinical practice.

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