HMP Global June 21, 2022
Newly published research shows that Cardiologs’ deep learning model can predict the short-term risk of atrial fibrillation (AFib) based on 24-hour Holter recordings that show normal sinus rhythm.
PARIS and BOSTON, June 21, 2022 – Cardiologs, a global leader in artificial intelligence (AI) cardiology diagnostics, announced today that its latest study, “Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network,” has been published in the European Heart Journal – Digital Health.
The study, led by Dr. Jagmeet Singh, Cardiologist at Massachusetts General Hospital (MGH) and Professor of Medicine at Harvard Medical School, consisted of training Cardiologs’ deep neural network to predict the near-term presence or absence of AFib by only using the first 24 hours of an extended Holter recording. Results...