CancerLens AI

CancerLens AI is an advanced oncological triage platform built for the AMD Developer Hackathon 2026. The platform uses a 3-agent AI pipeline running on AMD MI300X GPUs with 192GB of HBM3 memory to detect, classify, and stage cancer from medical imaging scans. Agent 1 — Extractor: Qwen2-VL running at full precision on AMD MI300X analyzes the uploaded scan and extracts detailed visual observations. Agent 2 — Analyst: Gemini 2.0 Flash cross-references imaging findings with patient context and blood report values to generate a structured clinical report including cancer type, TNM staging, and risk scoring. Agent 3 — Validator: An independent AI pass audits the report for logical consistency and assigns a reliability score before the result reaches the user. The platform was tested on real clinical teaching cases — correctly identifying Stage III Osteosarcoma from a knee X-ray, cross-referencing elevated ALP and LDH from a blood report, and detecting Glioblastoma from a brain MRI with 9-10 out of 10 reliability scores. Features include stage-specific survival statistics pulled dynamically for any cancer type, a nearest oncologist finder via Google Maps, direct links to cancer specialist hospitals, and a context-aware AI health assistant chatbot. CancerLens AI makes radiologist-level cancer detection accessible to anyone, anywhere — in seconds, not weeks. Built by Team Noxis.