Proof

Ultromics is increasing the impact of echocardiography through real-world evidence and peer-reviewed publications. Discover publications, case studies, whitepapers, and more.

Publications

Publication

Automated Echocardiographic Detection of HFpEF Using AI Is Associated With Cardiac Mortality and Heart Failure Hospitalization

Publication

Unmasking HFpEF with Artificial Intelligence: A Disruptive Opportunity for Disease Detection

Publication

Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence

Publication

Utility of an Automated Artificial Intelligence Echocardiography Software in Risk Stratification of Hospitalized COVID-19 Patients

Publication

Human vs Artificial Intelligence-Based Echocardiography Analysis as Predictor of Outcomes (WASE-COVID)

Publication

Vendor Comparison of EchoGo with Competitor1A using the UK EVAREST Study.

Publication

WASE I: Echocardiography predicts death in patients with acute COVID-19 infection: The World Alliance Societies of Echocardiography (WASE-COVID) study.

Publication

WASE II: Ventricular changes in patients with acute COVID-19 infection: follow-up of The World Alliance Societies of Echocardiography (WASE-COVID) study.

Publication

Automated echocardiographic detection of severe coronary artery disease using artificial intelligence.

Conference posters

Poster

Deep Learning for Detection of Preclinical Heart Failure in the Multi-Ethnic Study of Atherosclerosis

Poster

Impact of Technical Changes in Artificial Intelligence Based Detection of Heart Failure with Preserved Ejection Fraction and Model Performance and Prognostication

Poster

Clinical Utility Of Screening For Transthyretin Cardiac Amyloidosis In Heart Failure With Preserved Ejection Fraction

Poster

Integrating Artificial Intelligence Pipelines Into The Diagnosis Of Cardiomyopathies

Poster

AI-Based Echocardiographic Assessment Is Associated With HF Hospitalization And Cardiac Mortality In HFpEF

Poster

Echocardiographic Screening For Cardiac Amyloidosis Using Artificial Intelligence: A Multi-Site Study For Algorithm Training And External Validation

Poster

PROTEUS: A Prospective Randomised Controlled Trial Evaluating The Use Of Artificial Intelligence In Stress Echocardiography

Poster

Diagnostic And Prognostic Evaluation Of An Echocardiography-Based Artificial Intelligence Algorithm For Detecting HFpEF: A Case-Control Analysis

Poster

Performance Of An Automated Echocardiographic AI Model. To Detect Subclinical HFpEF In Community-Dwelling Older Adults.

Poster

BackMix: Mitigating Shortcut Learning In Echocardiography With Minimal Supervision

Poster

EchoNet-Synthetic: Privacy-Preserving Video Generation For Safe Medical Data Sharing

Poster

Multi-Site Class-Incremental Learning With Weighted Experts In Echocardiography

Poster

Association Of A Novel, Non-Invasive AI Model To Automate Echocardiographic Detection Of Heart Failure With Preserved Ejection Failure (HFpEF) With Invasive Hemodynamics

Poster

Novel Deep Learning Model For The Detection Of Cardiac Amyloidosis: A Pilot Reader Study

Poster

Automated Echocardiographic Detection of HFpEF using AI

Poster

Clinical Utility Of An AI-Based Model For Detecting Heart Failure With Preserved Ejection Fraction (Hfpef) Through Decision Curve Analysis

Poster

Comparison Of Clinical Algorithms And AI Applied To An Echocardiogram To Categorize Risk Of HFpEF

Poster

Can Deep Learning Diagnostic Networks Be Used To Better Understand Morphologic Diagnostic Patterns In Cardiac Amyloidosis?

Poster

Can Left Ventricular Rotational Function Compensate For Marked Impairment In Longitudinal Strain In Early Cardiac Amyloidosis?

Poster

Automated Analysis Of Segmental Longitudinal Strain In Ischemic Heart Disease

Poster

Quantification of left ventricular regional wall motion: novel imaging features to predict coronary artery disease.

Poster

Estimating heart rate in echocardiography patients where ECG monitoring was not performed.

Poster

Fully Automated Left Ventricular Ejection Fraction And Global Longitudinal Strain Predicts Obstructive Coronary Artery Disease In Patients Undergoing Stress Echocardiography: A Multi-Centre Study.

Poster

Automated Contouring Of Non-Contrast Enhanced Echocardiograms Result In Similar Estimates Of Left Ventricular Function To Manually Contoured Contrast Enhanced Images In Chemotherapy Patients.

Poster

Contrastive Learning For View Classification Of Echocardiograms

Poster

Ultrasound Video Transformers For Cardiac Ejection Fraction Estimation

Poster

Fully Automated Quantification Of LV Regional Wall Motion From Echocardiograms To Detect Myocardial Infarction.

Poster

Coronary Artery Disease Prediction From Resting Echocardiograms Using Novel Imaging Biomarkers

Poster

Fully Automated Strain Analysis At Rest And Peak Stress During Standard And Contrast Enhanced Stress Echocardiography

Poster

Fully Automated Quantification Of Contrast And Non-Contrast Echocardiograms Eliminates Inter-Operator Variability

Poster

AI Enabled Global Longitudinal Strain Quantification In Hospitalized COVID-19 Patients With Myocardial Injury.

Poster

Proof

Publications

Automated Echocardiographic Detection of HFpEF Using AI Is Associated With Cardiac Mortality and Heart Failure Hospitalization

Unmasking HFpEF with Artificial Intelligence: A Disruptive Opportunity for Disease Detection

Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence

Utility of an Automated Artificial Intelligence Echocardiography Software in Risk Stratification of Hospitalized COVID-19 Patients

Human vs Artificial Intelligence-Based Echocardiography Analysis as Predictor of Outcomes (WASE-COVID)

Vendor Comparison of EchoGo with Competitor1A using the UK EVAREST Study.

WASE I: Echocardiography predicts death in patients with acute COVID-19 infection: The World Alliance Societies of Echocardiography (WASE-COVID) study.

WASE II: Ventricular changes in patients with acute COVID-19 infection: follow-up of The World Alliance Societies of Echocardiography (WASE-COVID) study.

Automated echocardiographic detection of severe coronary artery disease using artificial intelligence.

Conference posters

Deep Learning for Detection of Preclinical Heart Failure in the Multi-Ethnic Study of Atherosclerosis

Impact of Technical Changes in Artificial Intelligence Based Detection of Heart Failure with Preserved Ejection Fraction and Model Performance and Prognostication

Clinical Utility Of Screening For Transthyretin Cardiac Amyloidosis In Heart Failure With Preserved Ejection Fraction

Integrating Artificial Intelligence Pipelines Into The Diagnosis Of Cardiomyopathies

AI-Based Echocardiographic Assessment Is Associated With HF Hospitalization And Cardiac Mortality In HFpEF

Echocardiographic Screening For Cardiac Amyloidosis Using Artificial Intelligence: A Multi-Site Study For Algorithm Training And External Validation

PROTEUS: A Prospective Randomised Controlled Trial Evaluating The Use Of Artificial Intelligence In Stress Echocardiography

Diagnostic And Prognostic Evaluation Of An Echocardiography-Based Artificial Intelligence Algorithm For Detecting HFpEF: A Case-Control Analysis

Performance Of An Automated Echocardiographic AI Model. To Detect Subclinical HFpEF In Community-Dwelling Older Adults.

BackMix: Mitigating Shortcut Learning In Echocardiography With Minimal Supervision

EchoNet-Synthetic: Privacy-Preserving Video Generation For Safe Medical Data Sharing

Multi-Site Class-Incremental Learning With Weighted Experts In Echocardiography

Association Of A Novel, Non-Invasive AI Model To Automate Echocardiographic Detection Of Heart Failure With Preserved Ejection Failure (HFpEF) With Invasive Hemodynamics

Novel Deep Learning Model For The Detection Of Cardiac Amyloidosis: A Pilot Reader Study

Automated Echocardiographic Detection of HFpEF using AI

Clinical Utility Of An AI-Based Model For Detecting Heart Failure With Preserved Ejection Fraction (Hfpef) Through Decision Curve Analysis

Comparison Of Clinical Algorithms And AI Applied To An Echocardiogram To Categorize Risk Of HFpEF

Can Deep Learning Diagnostic Networks Be Used To Better Understand Morphologic Diagnostic Patterns In Cardiac Amyloidosis?

Can Left Ventricular Rotational Function Compensate For Marked Impairment In Longitudinal Strain In Early Cardiac Amyloidosis?

Automated Analysis Of Segmental Longitudinal Strain In Ischemic Heart Disease

Quantification of left ventricular regional wall motion: novel imaging features to predict coronary artery disease.

Estimating heart rate in echocardiography patients where ECG monitoring was not performed.

Fully Automated Left Ventricular Ejection Fraction And Global Longitudinal Strain Predicts Obstructive Coronary Artery Disease In Patients Undergoing Stress Echocardiography: A Multi-Centre Study.

Automated Contouring Of Non-Contrast Enhanced Echocardiograms Result In Similar Estimates Of Left Ventricular Function To Manually Contoured Contrast Enhanced Images In Chemotherapy Patients.

Contrastive Learning For View Classification Of Echocardiograms

Ultrasound Video Transformers For Cardiac Ejection Fraction Estimation

Fully Automated Quantification Of LV Regional Wall Motion From Echocardiograms To Detect Myocardial Infarction.

Coronary Artery Disease Prediction From Resting Echocardiograms Using Novel Imaging Biomarkers

Fully Automated Strain Analysis At Rest And Peak Stress During Standard And Contrast Enhanced Stress Echocardiography

Fully Automated Quantification Of Contrast And Non-Contrast Echocardiograms Eliminates Inter-Operator Variability

AI Enabled Global Longitudinal Strain Quantification In Hospitalized COVID-19 Patients With Myocardial Injury.

Basal Oriented Disks In Simpson’s Rule Improves Precision In Volume Estimations.

Curious about upcoming research and innovation?