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Publications
Advancing cardiovascular AI through rigorous research and clinical validation. Explore our peer-reviewed publications and scientific contributions.


AI GLS Strain Imaging in Multi-Vendor Comparison Study
Article | Jun 11, 2025 Ten years after the first head-to-head comparison of two-dimensional speckle-tracking echocardiography derived GLS measurements obtained with software solutions from different vendors, the authors compared again GLS results from 3-vendor-specific and 6-vendor agnostic software solutions in a cohort of patients and volunteers with a wide range of LV function. AI GLS Strain Imaging in Multi-Vendor Comparison Study Us2.ai ’s Feature in this Study: Us2.
Nov 18, 2025


Fully automated AI echo vs 3D and human readers
Article | Jul 22, 2024 Echo is essential in cardiovascular medicine for screening, diagnosis, and monitoring. AI has the potential to reduce variability and analysis time. While 3D echo is becoming more accurate, 2D imaging still dominates clinical care. This study evaluates agreement in measures of LV volume and function between human readers, Us2.ai and the 3D Heart Model.
Nov 18, 2025


AI estimation of invasive PCWP performed equally to human experts and may result in more frequent recognition of HFpEF
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
Nov 18, 2025


AI echo for strain imaging
Article | Nov 22, 2023 The first fully automated AI software with validated global longitudinal strain in patients with and without atrial fibrillation; plus regional strain validated in real-world datasets; plus accurate identification of patients with heart failure, as well as those with regional wall-motion abnormalities, published in the European Heart Journal’s Digital Health .
Nov 18, 2025


Automated echo strain AI measurements
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.
Nov 18, 2025
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