๐ Explainable AI (XAI) in Eye Disease Detection
๐จโโ๏ธ Meet Amit: A 45-year-old man experiencing blurry vision. His doctor recommends an AI-based retinal scan.
โ The Problem: Traditional AI models provide a diagnosis but lack transparency. How do we know why the model predicted a disease?
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Solution - XAI: Explainability techniques like Grad-CAM highlight which parts of the image influenced the decision. This helps doctors validate the AIโs diagnosis.
๐ท Try it yourself! Upload a retinal image, get a prediction, and compare it with XAI-based explanations.