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45 automated echo parameters, including strain analysis, marking a significant stride in medical innovation

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Publications

AI echo - AI for Echocardiography Diagnosis Support

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

Automated AI echo interpretation of systolic and diastolic function in a multicohort study

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. Download the study.

Point Of Care Ai Assisted Novice Echocardiography

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

A formal white paper on how to democratize echocardiography with augmented intelligence. Download the white paper.

Strain is a sensitive measure of cardiac function, but clinical application remains limited due to expertise requirements and high variability. We showed AI Echo can automate generation and interpretation of strain. See the results.

AI echo for cardiac amyloidosis. ATTR-CM is an ultimately fatal cause of heart failure. Manual analysis is slow and highly variable. We showed that automated AI echo can identify predictors of mortality. View the poster.

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. Download the results.

Heart disease has no boundaries – nor should you

Create real time reports from any ultrasound machine with Echo Copilot (TM). From GE Vivid CARTs to EchoNous Kosmos mobile devices, we have solutions for every echo device and workflow.

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