VisiHealth AI – Explainable Medical by JUNAID Mohi Ud DinVisiHealth AI – Explainable Medical by JUNAID Mohi Ud Din

VisiHealth AI – Explainable Medical

JUNAID Mohi Ud Din

JUNAID Mohi Ud Din

VisiHealth AI – Explainable Medical VQA VisiHealth AI is a multimodal, explainable Medical Visual Question Answering system designed to analyze complex clinical radiology scans. Utilizing PyTorch, ResNet-50, and BioLinkBERT, the platform fuses text and spatial image patches through a real multi-token cross-attention mechanism to provide accurate clinical insights. It builds diagnostic trust through explainable AI by overlaying attention-map heatmaps on original scans and deriving human-readable rationales from a 4,444-triplet medical knowledge graph. Delivered via a scalable Next.js and Flask architecture, it demonstrates my capability in deep learning and healthcare AI integrations
Like this project

Posted Sep 19, 2026

VisiHealth AI – Explainable Medical VQA VisiHealth AI is a multimodal, explainable Medical Visual Question Answering system designed to analyze complex clin...