Deep Learning model developed at UHN to maximize lifespan after liver transplant
Toronto (April 12, 2021) - Researchers from University Health Network have developed and validated an innovative deep learning model to predict a patient's long-term outcome after receiving a liver transplant.
First of its kind in the field of Transplantation, this model is the result from a collaboration between the Ajmera Transplant Centre and Peter Munk Cardiac Centre. The study, published in Lancet Digital Health, shows it can significantly improve long-term survival and quality of life for liver transplant recipients.
"Historically, we have seen good advances in one-year post-transplant outcomes, but survival in the longer term hasn't significantly improved in the past decades," explains Dr. Mamatha Bhat, a hepatologist with the Ajmera Transplant Centre ...











