Posted inClinical Updates news Respiratory Transplantation
Development and Validation of an Interpretable Hybrid Machine Learning Model for Predicting Long-term Lung Transplant Outcomes
This review synthesizes evidence on a novel hybrid machine learning model leveraging US lung transplant registry data to predict mortality or retransplant risk at 1, 5, and 10 years, highlighting its clinical utility and balanced interpretability.