Us2.AI Echo Copilot

AI echo disease detection at scale – University of Dundee poster on the detection and diagnosis of patients with heart failure from electronic health records

AI echo reports – automated echo diagnosis support for interpretation of systolic and diastolic function published in The Lancet Digital Health

AI interpretation of echocardiograms – a formal validation of echo analysis software published in Nature Communications

AI echo reports with AI Point-of-Care ultrasound enable novices to perform heart failure screening

Democratizing Echocardiography with Augmented Intelligence Us2.ai reports on heart structure and function, with fully automated analyses of ALL heart chambers using both 2D and Doppler views. AI Cardiac Ultrasound Reporting Download the AI Echo White Paper

Echocardiographic strain imaging is a sensitive measure of cardiac function and wall-motion abnormalities. Clinical application remains limited due to the significant expertise required to perform the measurement and high intra-observer variability. Echo strain AI can automate generation and interpretation of echocardiographic strain. Download the full presentation

ATTR-CM is an ultimately fatal cause of heart failure. Manual echo analysis is time consuming, relies on trained specialists and is subject to high intra and inter observer variability. We showed that fully automated AI echo is able to identify predictors of mortality. Download the poster

Mitral regurgitation is the most prevalent valvular heart disease in the US. Grading MR severity is essential due to high mortality. Download the presentation on validation of fully automated AI Echo software for MR severity grading.