Project Hyperion: Adversarial Medical AI Swarm

Medical AI today acts as a "Black Box." Most systems rely on single-model architectures that are prone to hallucinating diagnoses and rubber-stamping their own errors through hierarchical "self-correction." This lack of verifiable trust prevents widespread adoption in high-stakes clinical settings. Project Hyperion fundamentally solves this through True Adversarial Peer-Review. Powered entirely on local AMD MI300X silicon to guarantee 100% patient data sovereignty (zero cloud leakage), Hyperion orchestrates a 3-agent adversarial swarm: The Vision Agent (InternVL-1.5): Extracts pure anatomical and geometric data without asserting clinical authority. The Drafter Agent (Meditron-70B): Acts as the "Resident," synthesizing findings based on PubMed literature and IDSA/ATS guidelines. The Critic Agent (Llama-3-70B): Acts as the "Attending Physician," explicitly engineered to reject weak drafts, demand clinical scoring (like CURB-65), and force a strict revision loop. Hyperion features two operational clocks: a 90-second "Demo Mode" for rapid Golden Hour triage in Emergency Departments, and a 5-minute "Pro Mode" for deep, multi-round clinical consensus. Additionally, our "Edu Mode" automatically generates Socratic case studies from historical scans to actively train medical residents. By shifting from cloud-dependent OpEx models to Edge-compute CapEx models, Hyperion delivers uncompromised, peer-reviewed diagnostic support to hospitals worldwide.