Disease Reasoner Mapping Using Explainable AI

The Disease Reasoner Mapping using Explainable AI project presents a hybrid healthcare diagnostic system that combines the strengths of deep learning and symbolic reasoning to provide both accurate predictions and interpretable explanations.

Traditional AI models in healthcare often act as black boxes, delivering high accuracy but lacking transparency, which reduces trust among clinicians. This project addresses that limitation by integrating an Explainable AI (XAI) framework with a neuro-symbolic architecture, ensuring that every prediction is both reliable and understandable.