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Rigorously tested. Clinically validated. Peer-reviewed.
Use of Machine Learning Software to Guide Focused Cardiac Ultrasound Exams Performed by Novices During the COVID-19 Pandemic
JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
June 18, 2021
Artificial Intelligence-Guided Novice Acquisition of Limited Diagnostic Echocardiograms: An Assessment of Left Ventricular Systolic Function
JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
June 18, 2021
AI-guided Echocardiography System Matches the Image Quality Assessment Ability of Cardiac Sonographers
ACC SCIENTIFIC SESSION 2021
May 15, 2021
Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use
JAMA CARDIOLOGY
February 18, 2021
Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound
JACC: CASE REPORTS
February 17, 2021
AI-Powered Navigation System for Steering POCUS in the COVID-ICU (Editorial)
JACC: CASE REPORTS
February 17, 2021
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
Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: results from a pivotal prospective multi-center clinical trial
ESC CONGRESS 2020
August 29, 2020
Artificial Intelligence Guidance of Novices to Obtain Diagnostic-Quality Echocardiographic Images
ASE SCIENTIFIC SESSIONS 2020
August 8, 2020
Acquisition of Diagnostic Echocardiograms by Novices: Results from A Multicenter Pivotal Prospective Clinical Trial Using Artificial Intelligence
ASE SCIENTIFIC SESSIONS 2020
August 8, 2020
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