Publications

Aortic stenosis (AoS) is a common form of valvular heart disease. This is the first study of its kind demonstrating the capacity of AI Echo to accurately quantify AoS severity with zero human input beyond image acquisition. See the results and the video

AI echo can facilitate risk stratification, comparable in performance to established risk scores and correlated with patient’s quality of life measures. Read the publication

Artificial intelligence and point-of-care ultrasound can improve access by enabling novice nurses to perform cardiac screening in patients’ homes. We demonstrated the feasibility of nurse-led home-based cardiac screening using AI POCUS. Download the results.

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.

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

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

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

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

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

Echo Strain AI – validation of AI auto strain AI-assisted echocardiography presented at the AHA Scientific Sessions

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

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

JASE publication on AI Point-of-care Ultrasound with Continuous-Wave Doppler Capability to evaluate aortic stenosis

Machine learning for diastology and heart failure with preserved ejection fraction – editorial published in JASE

Deep learning in echocardiography – an automated AI echo workflow validation presented at EuroEcho

Cardiovascular disease is the leading cause of death in women. Reducing the global burden by 2030