We present the novel use of a deep learning-derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.).
Keywords: AI, artificial intelligence; COVID-19; COVID-19, coronavirus disease-2019; ECMO, extracorporeal membrane oxygenation; EF, ejection fraction; ICU, intensive care unit; IVC, inferior vena cava; LV, left ventricle; POCUS, point-of-care ultrasound; RV, right ventricle; SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2; artificial intelligence; cardiac ultrasound; deep learning; point of care ultrasound.
© 2021 The Authors.