Article | Feb 19, 2025 Original Research | Editorial Comment Published in JACC: Cardiovascular Imaging , the authors validated a fully automated AI echocardiographic workflow for grading Mitral Regurgitation (MR) severity. The study demonstrated that the machine learning approach was feasible , fast , highly accurate , and predicts 1-year mortality . Its implementation in clinical practice could improve patient care while improving quality and efficiency in echo labs. MR Se

Article | May 11, 2023 AI-based MR severity grading presentation at EACVI 2023 . Grading MR severity is essential due to high mortality. We’ve built an automated, machine learning based, multiparametric approach.