MediCast: Autonomous Surgical Intelligence

Medical error is the third leading cause of death globally, and surgical complications account for a massive percentage of hospital liability. MediCast is an autonomous, computer vision-driven SaaS co-pilot engineered to fundamentally de-risk the operating room. Built exclusively for the AMD Developer Hackathon, it transforms opaque surgical video feeds into structured, actionable clinical intelligence in real-time. The Unicorn Pitch: Why MediCast Wins Proactive Risk Mitigation: A concurrent multi-agent swarm (Safety, Anatomy, and Phase Agents) autonomously monitors live surgical feeds, identifying critical safety deviations and anatomical hazards before they become fatal errors. Zero-Footprint Scalability: Hospitals refuse to install massive, expensive GPU servers in sterile environments. MediCast circumvents this entirely. By leveraging AMD Instinct™ GPUs in the cloud via the Fireworks AI API, we deliver blazing-fast inference directly to the OR with zero local hardware required. Gemma-Powered Clinical Debriefing (Bonus Track): We engineered our post-op AI Arbiter exclusively on Google’s Gemma 2 (gemma2-9b-it). It mines the structured surgical data to generate automated clinical reports and allows surgeons to interactively "chat" with their own procedures for unprecedented post-op quality assurance. Commercial Readiness: Complete with a secure, HIPAA-styled SSO gateway, real-time WebSockets, and a premium React dashboard, MediCast isn't a prototype it’s a deployable product ready for clinical pilot. By fusing AMD's massive compute throughput with the Fireworks AI API and Gemma 2, MediCast doesn't just analyze surgery it makes it safer, trackable, and instantly reviewable