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Journal of the American Society of Echocardiography

06/18/2021

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

06/18/2021

Artificial Intelligence-Guided Novice Acquisition of Limited Diagnostic Echocardiograms: An Assessment of Left Ventricular Systolic Function

JAMA Cardiology

02/18/2021

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

JACC: Case Reports

02/17/2021

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

JACC: Case Reports

02/17/2021

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

The International Journal of Cardiovascular Imaging

10/08/2020

A Machine Learning Algorithm supports Ultrasound-naïve novices in the acquisition of Diagnostic Echocardiography loops and provides accurate estimation of LVEF

Journal of the American Society of Echocardiography

06/11/2020

Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

Circulation: Cardiovascular Imaging

09/16/2019

Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert

Circulation: Cardiovascular Imaging

09/16/2019

Combining Artificial Intelligence With Human Insight to Automate Echocardiography (Editorial)

ACC Scientific Session 2021

05/15/2021

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

ACEP Scientific Assembly 2020

10/26/2020

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

ASA Annual Meeting 2020

10/03/2020

Point Of Care Ultrasound (POCUS) Auto EF Computer Learning

ESC Congress 2020

08/29/2020

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

ASE Scientific Sessions 2020

08/08/2020

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

ASE Scientific Sessions 2020

08/08/2020

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

ACC Scientific Session 2020

03/28/2020

Acquisition of Diagnostic Echocardiographic Images by Novices using a Deep Learning Based Image Guidance Algorithm

EACVI EuroEcho 2019

01/17/2020

Point-of-care cardiac assessment using machine learning to guide image acquisition

AHA Scientific Sessions 2019

11/11/2019

Automated Guidance and Image Capture of Echocardiographic Views Using a Deep Learning-Derived Technology

ESC Congress 2019

09/16/2019

Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert

ASE Scientific Sessions 2019

06/01/2019

Evaluation of a Deep-learning Algorithm Designed to Aid Novice Scanners in Obtaining Diagnostic Quality Echocardiograms

ACC Scientific Session 2019

03/17/2019

Accuracy and Reproducibility of a Novel Artificial Intelligence Deep Learning-based Algorithm for Automated Calculation of Ejection Fraction in Echocardiography

ACC Scientific Session 2019

03/16/2019

Innovative Ultrasound Technologies EchoGPS and AutoEF Help Novices Perform Efficient and Accurate Echocardiographic Monitoring in Cancer Patients

ASE Scientific Sessions 2018

06/01/2018

Deep Learning Algorithm for Fully Automated Left Ventricular Ejection Fraction Measurement

Webinars

Point-of-Care Ultrasound in a Changing Healthcare Environment: COVID-19 and Beyond

Imaging's Role in COVID-19: A conversation among colleagues

Blog

Regulatory

10-02-2020

How should the FDA regulate adaptive AI, software that designs itself?

Regulatory

09-03-2020

Digital Health in the Pandemic: How the FDA Enabled Technology to Battle the Crisis

artificial intelligence AI point of care ultrasound clinician

Empowering healthcare providers with new capabilities to acquire and interpret ultrasound exams.

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Evidence

Use of Machine Learning Software to Guide Focused Cardiac Ultrasound Exams Performed by Novices During the COVID-19 Pandemic

Artificial Intelligence-Guided Novice Acquisition of Limited Diagnostic Echocardiograms: An Assessment of Left Ventricular Systolic Function

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

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

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

A Machine Learning Algorithm supports Ultrasound-naïve novices in the acquisition of Diagnostic Echocardiography loops and provides accurate estimation of LVEF

Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert

Combining Artificial Intelligence With Human Insight to Automate Echocardiography (Editorial)

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

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

Point Of Care Ultrasound (POCUS) Auto EF Computer Learning

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

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

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

Acquisition of Diagnostic Echocardiographic Images by Novices using a Deep Learning Based Image Guidance Algorithm

Point-of-care cardiac assessment using machine learning to guide image acquisition

Automated Guidance and Image Capture of Echocardiographic Views Using a Deep Learning-Derived Technology

Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert

Evaluation of a Deep-learning Algorithm Designed to Aid Novice Scanners in Obtaining Diagnostic Quality Echocardiograms

Accuracy and Reproducibility of a Novel Artificial Intelligence Deep Learning-based Algorithm for Automated Calculation of Ejection Fraction in Echocardiography

Innovative Ultrasound Technologies EchoGPS and AutoEF Help Novices Perform Efficient and Accurate Echocardiographic Monitoring in Cancer Patients

Deep Learning Algorithm for Fully Automated Left Ventricular Ejection Fraction Measurement

Webinars

Point-of-Care Ultrasound in a Changing Healthcare Environment: COVID-19 and Beyond

Imaging's Role in COVID-19: A conversation among colleagues

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Blog

How should the FDA regulate adaptive AI, software that designs itself?

Digital Health in the Pandemic: How the FDA Enabled Technology to Battle the Crisis

Empowering healthcare providers with new capabilities to acquire and interpret ultrasound exams.