US, Oct. 7 -- By analyzing heart rhythm recordings and blood tests, artificial intelligence may accurately flag when a transplant patient's body starts attacking a donated heart, a new study suggests.

The current gold standard for diagnosing heart transplant rejection is a biopsy, the surgical removal of a small piece of heart muscle, which experts inspect under the microscope for inflammation and other changes that may indicate that the body's immune system is rejecting an organ.

Led by NYU Langone Health researchers, the study explored an alternative method: whether combining electrocardiograms (EKGs)-which record the heart's electrical activity using sensors placed on the skin-with blood tests could help identify rejection without t...