Objectify, predict, personalize: the AI revolution in organ transplantation

#AI #Transplantation #MachineLearning #GraftRejection


Solid organ transplantation is currently the gold standard treatment for end-stage organ failure. However, numerous challenges remain, including organ shortages, complex preoperative assessments, and the risk of chronic rejection. In this context, artificial intelligence (AI)—and more specifically, machine learning (ML)—is drawing increasing interest from clinicians and researchers.

This literature review explores the latest advances in AI applied to transplantation, focusing on three major areas: pre-transplant assessment, rejection diagnosis, and personalized postoperative monitoring. The promise? To transform transplant medicine into a more predictive, objective, and personalized field.