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An Explainable AI-Centric Approach for Healthcare: A Review

2025·0 Zitationen
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2025

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Abstract

In the past, doctors used photographs of the back of the eye and other tests to find diabetic retinopathy. But sometimes, these tests weren't clear enough, and mistakes happened. With more and more people getting diabetes, we need faster and better ways to check their eyes. Artificial intelligence (AI) is like a computer program that can help doctors find diabetic retinopathy faster and more accurately. But sometimes, it's hard to understand how AI makes results. That's where XAI comes in. XAI helps us understand why AI makes certain decisions. This makes doctors feel more confident in using AI and helps patients understand their condition better. Diabetic Retinopathy (DR) is a severe eye problem that happens because of diabetes. It can make you lose your eyesight. We need to find it early and take care of it properly. Using a smart way called Explainable Artificial Intelligence (XAI) can help us do this better.

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