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Clinical Evidence

Ultromics is increasing the impact of echocardiography through real-world evidence and peer-reviewed publications.

  • Publications

Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis
  • Publications

Cardiac Amyloidosis Detection From a Single Echocardiographic Video Clip: A Novel Artificial Intelligence-Based Screening Tool
  • Publications

External Validation of Artificial Intelligence for Detection of Heart Failure with Preserved Ejection Fraction
  • Publications

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

Unmasking HFpEF with Artificial Intelligence A Disruptive Opportunity for Disease Detection
  • Publications

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

Utility of an automated AI-based echocardiography software in risk stratification of hospitalized COVID-19 patients
  • Publications

Human vs AI-based echocardiography analysis as predictor of outcomes (WASE-COVID study)
  • Publications

EchoGo® Core FDA Performance Testing
  • Publications

WASE I: Echocardiography predicts death in patients with acute COVID-19 infection (WASE-COVID study).
  • Publications

WASE II: Ventricular Changes in Patients with Acute COVID-19 Infection: Follow-Up of The World Alliance Societies of Echocardiography (WASE-COVID) Study.
  • Publications

Automated echocardiographic detection of severe CAD using AI
  • Conference Studies

Echocardiography and Artificial Intelligence in the Cardiac Amyloidosis Referral Pathway
  • Conference Studies

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

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

Impact of Technical Changes in AI Based Detection of HFpEF and Model Performance and Prognostication
  • Conference Studies

Clinical Utility Of Screening For Transthyretin Cardiac Amyloidosis In HFpEF
  • Conference Studies

Integrating AI Pipelines Into The Diagnosis Of Cardiomyopathies
  • Conference Studies

AI-based Echocardiographic Assessment Is Associated with HF Hospitalization and Cardiac Mortality in HFpEF
  • Conference Studies

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

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

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

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

BackMix: Mitigating Shortcut Learning In Echocardiography With Minimal Supervision
  • Conference Studies

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

Multi-Site Class-Incremental Learning With Weighted Experts In Echocardiography
  • Conference Studies

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

Novel Deep Learning Model For The Detection Of Cardiac Amyloidosis, A Pilot Reader Studyy
  • Conference Studies
  • Publications

Automated Echocardiographic Detection Of HFpEF Using AI
  • Conference Studies

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

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

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

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

Automated Analysis Of Segmental Longitudinal Strain In Ischemic Heart Disease​
  • Conference Studies

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

Estimating Heart Rate In Echocardiography Patients Where ECG Monitoring Was Not Performed.
  • Conference Studies

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

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

Contrastive Learning For View Classification Of Echocardiograms
  • Conference Studies

Ultrasound Video Transformers For Cardiac Ejection Fraction Estimation
  • Conference Studies

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

Coronary Artery Disease Prediction From Resting Echocardiograms Using Novel Imaging Biomarkers.
  • Conference Studies

Fully automated strain analysis at rest and peak stress during standard and contrast enhanced stress echocardiography.
  • Conference Studies

Fully automated quantification of contrast and non-contrast echocardiograms eliminates inter-operator variability.
  • Conference Studies

AI enabled global longitudinal strain quantification in hospitalized COVID-19 patients with myocardial injury.
  • Conference Studies

Basal oriented disks in simpson’s rule improves precision in volume estimations.

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