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AI Use Case

Identify the right match for transplant patients and donors

Optimising matches between transplant patients and donors benefits all patients across the transplant waiting list as it results in more saved lives. For example, through paired kidney donations, AI is able to identify potential donors and recipients who are biologically suited for one another and can take into account certain criteria to optimise the service such as prioritising the hardest to match patients.


Supply Chain



Risk reduction - Mortality rate,Risk reduction - Recovery rate,Operational - Lower error rates,Risk reduction - Patient outcomes,Operational - Customer wait times

Case Studies

The Organ Procurement and Transplantation Network (OPTN)~The U.S. Organ Procurement and Transplantation Network is saving lives by matching kidney donors and recipients using algorithms built by AI researchers ,MIT~MIT researchers developed a model that could decrease mortality rate of people on liver transplant lists by 20% with machine learning

Potential Vendors



Healthcare Providers And Services

Data Sets

Structured / Semi-structured

AI Technologies

Machine Learning (ML),ML Task - Prediction - Regression,Algorithm - Actor-Critic,Traditional AI,ML Task - Prediction - Binary Classification

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