More than 4,500 heart transplants were performed in the U.S. in 2023. While the lifesaving operation improves the quality of life and longevity for most recipients, organ rejection remains a risk, with acute rejection occurring in up to 32% of recipients within the first year.
A team of researchers from Emory University, Case Western Reserve University and the University of Pennsylvania developed artificial intelligence tools to examine cardiac biopsy images to improve the prediction of rejection, helping to ensure patients receive the best possible post-transplant treatment.
Currently, clinicians rely on histologic grading of cardiac biopsies to diagnose acute rejection. However, there are limitations to the method, which assigns International Society of Heart and Lung Transplantation (ISHLT) histologic grades corresponding to no, mild, moderate and severe rejection.
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