New research published in the Journal of Biomedical Informatics by Duke researchers Xenia Konti, Nicoleta Economou-Zavlanos, Michael M. Zavlanos, and colleagues shows how hospitals can use AI to learn collaboratively which treatments work best while keeping patient data private. Using real COVID-19 data, the study found that hospitals can learn faster, reduce bias, and make safer treatment decisions using fewer patient data. The work highlights a practical path for bringing responsible AI into everyday clinical care.