The AI Breakthrough That Lets Hospitals Train Algorithms Without Sharing Patient Data

Medical AI needs massive datasets, but privacy laws and data silos make sharing patient data nearly impossible. Federated learning solves this by sending the AI model to hospitals instead of moving the data. Each institution trains the model locally and shares only updates. The result: stronger medical AI, better diagnosis, and global collaboration without exposing sensitive patient records.