Rigorously tested. Clinically validated. Peer-reviewed.

Deep Learning–Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution

CIRCULATION: CARDIOVASCULAR IMAGING

AI-Guided Echocardiography System Matches the Image Quality Assessment Ability of Cardiac Sonographers

ACC SCIENTIFIC SESSION 2021

From Novice to Expert: Beside Echocardiography Using Artificial Intelligence Ultrasound Software for Perioperative Management of a Patient with Hypertrophic Cardiomyopathy

SOAP ANNUAL MEETING 2021

Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use

JAMA CARDIOLOGY

February 18, 2021

AI-Powered Navigation System for Steering POCUS in the COVID-ICU (Editorial)

JACC: CASE REPORTS

February 17, 2021

Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound

JACC: CASE REPORTS

February 17, 2021

Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: results from a pivotal prospective multi-center clinical trial

ESC CONGRESS 2020

November 25, 2020

Evaluation of a Novel Ultrasound Machine Learning Algorithm in Estimating Left Ventricular Ejection Fraction

ACEP SCIENTIFIC ASSEMBLY 2020

October 26, 2020

A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF

THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING

October 8, 2020

Point Of Care Ultrasound (POCUS) Auto EF Computer Learning

ASA ANNUAL MEETING 2020

October 3, 2020

Acquisition of Diagnostic Echocardiograms by Novices: Results from A Multicenter Pivotal Prospective Clinical Trial Using Artificial Intelligence

ASE SCIENTIFIC SESSIONS 2020

Artificial Intelligence Guidance of Novices to Obtain Diagnostic-Quality Echocardiographic Images

ASE SCIENTIFIC SESSIONS 2020