Hospitals train shared AI models without pooling patient records
National Taiwan University Hospital said in 2026 that it had built a federated-learning platform with partner hospitals to validate medical AI without moving their data off site. The approach limits centralized data collection, but it does not eliminate privacy, performance or accountability risks.