I developed "Path-RAG," an AI-driven framework that enhances the analysis of pathology images for accurate diagnosis and prognosis in cancer treatment. By combining deep learning and expert-guided knowledge retrieval, Path-RAG identifies key image regions and improves question-answering accuracy in medical datasets. This innovation bridges the gap between machine intelligence and human expertise, offering better support for medical decision-making.