AI in Transplant Donor-Recipient Matching

Trenches in Transplant Surgery · Jul 5, 2025 · 19m

Artificial intelligence is transforming donor-recipient matching in abdominal organ transplantation by integrating complex datasets—such as clinical variables, imaging, genomics, and immunologic profiles—into predictive models that can optimize graft allocation and improve outcomes. Machine learning techniques like gradient boosting, random forests, and deep neural networks have demonstrated superior accuracy over traditional scoring systems in predicting graft survival, organ usability, and rejection risk. Studies in liver and pancreas transplantation have shown AI’s ability to personalize…