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New AI Might Boost Liver Donations By Highlighting Best Potential Donors

The AI model predicts donor death timing with 75% accuracy, reducing futile liver procurements by 60% and potentially increasing usable organs for transplant patients.

  • On Nov. 18, 2025, Stanford Medicine in Palo Alto announced an AI that predicts which organ donors can provide usable livers after circulatory death.
  • Because livers lose viability quickly, transplant surgeons often reject donated livers if death follows life support withdrawal by more than 30 to 45 minutes in donation after circulatory death.
  • Researchers report the AI model predicted donor death timing with 75% accuracy versus surgeons' 65%, maintaining a missed-opportunity rate around 15%, and cut futile procurements by 60% using training datasets.
  • Researchers say the AI could allow more transplant candidates to receive livers by identifying usable donations earlier, while the team is refining algorithms to lower the missed-opportunity rate to about 10%.
  • Trained on more than 1,600 donors , researchers are exploring applying the approach to heart and lung transplants, noting fluctuating organ blood supply during donor death.
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New AI Might Boost Liver Donations By Highlighting Best Potential Donors

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·Calhoun, United States
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Saving a life sometimes depends on a few minutes, especially when it comes to removing an organ before it becomes unusable. Despite medical advances, a large proportion of transplants still fail at the sampling stage, because of lack of reliable anticipation of the death of the donor. Now with artificial intelligence, organ transplantation is more accurate and effective. One in two liver transplant fails due to lack of reliable prediction In liv…

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meobserver.org broke the news in on Tuesday, November 18, 2025.
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