By Andrew Gregory
Publication Date: 2025-11-13 23:30:00
Doctors have developed an AI tool that could reduce unnecessary organ transplants by 60%.
Thousands of patients around the world are waiting for a potentially life-saving donor, and there are more candidates on waiting lists than organs available.
In cases where people need a liver transplant, access has recently been expanded through the use of donors who died after cardiac arrest. However, in about half of these donations after circulatory death (DCD), the transplant is aborted.
The time between the loss of life-sustaining measures and death must not exceed 45 minutes. If the donor does not die within the time frame necessary to maintain organ quality, surgeons often reject the liver because of the increased risk of complications for the recipient.
Now doctors, scientists and researchers at Stanford University have developed a machine learning model that predicts whether a donor is likely to die within the time frame in which their organs are viable…
