Article | Apr 30, 2024 A study conducted at Christ Hospital Health Network and presented at ACC.24 showed good to excellent agreement between AI and experts assessments of LV volumes and ejection fraction in contrast echocardiograms.

Article | Apr 24, 2024 Evaluating the performance of automated deep learning algorithms for measurement of echo estimators of invasively measured PCWP. Deep learning for HFpEF Detection

Article | May 21, 2023 AI-enabled, home-based cardiac care by nurses – abstract presented at the ESC Heart Failure Congress 2023. AI point-of-care ultrasound can improve access, enabling novice nurses to perform cardiac screening in patients’ homes.

Article | May 11, 2023 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.

Article | May 10, 2023 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.

Article | May 10, 2023 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.

Article | Feb 27, 2023 AI echo reports with AI Point-of-Care ultrasound enable novices to perform heart failure screening

Article | Nov 5, 2022 Echo Strain AI – validation of AI auto strain AI-assisted echocardiography presented at the AHA Scientific Sessions

Article | Sep 15, 2022 AI echo disease detection at scale – University of Dundee poster on the detection and diagnosis of patients with heart failure from electronic health records

Article | Jan 18, 2022 Deep learning in echocardiography – an automated AI echo workflow validation presented at EuroEcho