18/11/2025
Researchers, clinicians and scientists at Stanford University have developed a model designed to improve prediction accuracy around donor viability.
The tool estimates whether a donor is likely to die within the period during which their organs remain suitable for transplantation.
The model surpassed the predictions of highly experienced surgeons and reduced the rate of futile procurements by 60%.
Futile procurements occur when surgical teams begin preparing for a but cannot proceed because the donor dies too late for the organ to remain viable.
A Stanford-developed AI tool predicts whether donor organs will remain viable within critical time limits, cutting futile transplant attempts by 60 percent and improving access for people awaiting transplants.