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Healthcare Diagnostic System with XAI
0
Zitationen
2
Autoren
2025
Jahr
Abstract
<title>Abstract</title> Faster and more precise diagnostics made possible by artificial intelligence (AI) are drastically changing the healthcare industry. In this project, we created a deep learning-based healthcare diagnostic system that analyses medical images and helps identify diseases. With a high accuracy of 92%, our model is a dependable clinical assistance tool. But we also understand that trust is as crucial to AI systems as performance. We addressed this by using Grad-CAM (Gradient-weighted Class Activation Mapping), which provides a visual representation of the model's prediction process. Our technique makes it easier for medical practitioners to comprehend and accept the AI's judgements by identifying the precise regions of an image that affected the diagnosis.
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