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

Conference posters

Poster

Three Rules to Find Them All - Clinical Risk Scores in HFpEF
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

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

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