AI IN HEALTHCARE

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Authors: Kalyani Gavit, Sudarshan Mundhe, Sai Khaire, Rakesh Pawar, Neha Kothawade
Cited by: 0

Abstract

AI is a transformative technology in healthcare ,using advanced algorithms like machine learning to analyze vast , complex medical data Benefits including enhancing diagnostic accuracy [often out performing humans in ares like radiology ] , enabling personalized treatment plans, accelerating drug discovery, and improving operational efficiency through workflow automation . Risks involves critical challenges like algorithmic bias leading to health inequities, the black box problem which compromises trust and transparency, and serious concerns regarding data privacy and security . successful integration requires robust ethical guidelines, regulatory oversight, and maintaining AI as an augmentative tool to support –not replace- clinical judgment

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
International Journal For Multidisciplinary Research
Volume
8
Issue
1
Publication date
7 January 2026