| Abstract |
Modern healthcare systems struggle to rapidly synthesize fragmented diagnostic data—such as blood biomarkers, radiological images, and prescription records—into a unified, evidence-based interpretation, often leaving critical insights hidden within complex datasets. The purpose of this code is to engineer an intelligent, multi-modal medical analysis engine that leverages deep learning, optical character recognition, and biomedical research retrieval to transform raw clinical inputs into structured, research-supported insights, simulating the analytical reasoning process of advanced clinical decision-making systems. |
