AI May Help Catch Heart Transplant Rejection Without Biopsies
Associate Professor Lior Jankelson, who holds appointments at NYU Grossman School of Medicine and NYU Tandon, led a study showing that an AI model combining EKG readings and blood tests correctly identified 94 percent of heart transplant patients without rejection, which could spare many of them an invasive biopsy. "Based on our findings, combining the availability of EKGs with the support of AI may help identify rejection earlier," Jankelson said.
