AI and the Systolic Function Ejection fraction (EF) is an essential parameter used to assess the systolic function; however, it has been historically subjected to interobserver variability and the level of experience of the examiner. AI-based algorithms present solutions for EF, providing automated and reproducible calculations.3–5 A pioneering study published by He et al. evaluated a deep learning (DL) system comprised of convolutional neural networks (CNNs), called EchoNet-Dynamic flow, and compared EF assessments performed by AI with measurements performed by […]