AI Derived Cardiac Echo Measurements Able to Predict COVID-19 Mortality Using artificial intelligence for LVEF and longitudinal strain minimized variability compared to human review in late-breaking ACC study The WASE-COVID Study used the artificial intelligence automated echocardiogram reading software EchoGo-Core from Ultromics to evaluate ejection fraction and left ventricle longitudinal strain in COVID-19 patients to identify risk markers for mortality. The study also compared human vs. AI variability in assessing the exams. May 18, 2021 — Artificial intelligence (AI) derived heart measurements were able to predict COVID-19 (SARS-CoV-2) mortality on echocardiograms in an international cardiac ultrasound study of COVID-19 patients. The Echocardiographic Correlates of in-hospital Death in Patients with Acute COVID-19 Infection: The World Alliance Societies of Echocardiography (WASE-COVID) Study was presented at the American College of Cardiology (ACC) 2021 virtual Scientific Session.