Integrating artificial intelligence (AI) tools into transplant infrastructure could save a significant amount of available donor hearts from being discarded, according to research presented at the International Society for Heart and Lung Transplantation (ISHLT) 46th Annual Meeting and Scientific Sessions.
Together with scientists at Stanford and other leading U.S. research centers, Wayda has developed a web-based prediction tool called TOPHAT (Tool Predicting Heart Acceptance for Transplant).
This machine learning algorithm evaluates 20 donor characteristics to estimate how likely a transplant center is to accept a donor heart, based on historical data from over 78,000 potential donors.
Using this tool could help experts make decisions in a more data-driven, consistent, and efficient way.
This could reduce the likelihood that a suitable donor heart gets discarded due to time running out before a matching recipient is found.
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