Paper Key : IRJ************482
Author: Eshika Balu Raut
Date Published: 02 Nov 2024
Abstract
Explainable artificial intelligence (XAI) has become a crucial strategy to tackle these challenges, focusing on making AI systems more understandable and trustworthy within healthcare environments. This review provides a systematic evaluation of various XAI approaches, including model-based, attribution-based, and example-based explanations, and examines their effectiveness in real-world healthcare scenarios.
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