LifeLink: An AI-Assisted, Explainable Organ Transplant Matching and Smart Priority-Queue Platform

Organ transplantation systems must decide who is treated first, which donor organ suits which patient, and how those decisions can be checked afterwards. In practice, government and private hospitals run separate processes, urgency claims are hard to verify, and automated ranking tools rarely explain their output. This paper presents LifeLink, a web platform in which patients choose a government priority-queue route or an urgent private route within one system. Medical urgency is certified by a doctor and, for private cases and large urgency changes, countersigned by a hospital administrator. Donor organs are ranked by a two-stage engine: hard medical filters remove impossible matches, and a trained logistic-regression model scores the rest, with an exact per-factor explanation for every score. Every status change is written to an audit log, and the platform continues through appointment, transplant completion, and an aftercare plan. A simulation study on synthetic data compares three queue policies and the model ranking against random and best-possible choices. A companion mobile application is the next development stage. The system is a prototype trained and evaluated on synthetic data; it is not a clinical system.