AI model flags heart transplant patients at risk of early graft failure

Researchers have developed a machine learning tool to predict which heart transplant recipients face the highest risk of graft failure within 30 days of surgery. Early identification could help clinicians intervene faster and allocate organs more strategically, potentially improving survival rates and reducing costly complications in one of medicine's most high-stakes procedures.

Originaltitel: A machine learning model for prediction of 30-day primary graft failure after heart transplantation