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Publications

Peer-reviewed research.

Selected publications from the AI-ECG research program — across cardiac dysfunction detection, valvular disease, pulmonary embolism, and more.

Validation2024

Quantitative Prediction of Right Ventricular Size and Function From the ECG

Journal of the American Heart Association

AUC 0.86 Read
Foundation2023

A Foundational Vision Transformer Improves Diagnostic Performance for Electrocardiograms

npj Digital Medicine

Jun 6, 2023 Read
Research2024

Use of the Energy-Waveform Electrocardiogram to Detect Subclinical LV Dysfunction in T2DM

Cardiovascular Diabetology

AUC 0.81 Read
Research2023

A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With PVCs

Journal of the American Heart Association

Aug 9, 2023Abstract only
Validation2022

Multi-Center Retrospective Cohort Study: Deep Learning of ECG to Identify Left-Heart Valvular Dysfunction

JACC

Sep 2022Abstract only
Pilot2019

Machine Learning Applied to Energy-Waveform ECG for Prediction of Subclinical Myocardial Dysfunction

European Heart Journal

Oct 2019Abstract only
Validation2020

Machine Learning Assessment of Left-Ventricular Diastolic Function Based on Electrocardiographic Features

JACC

Aug 2020Abstract only
Pilot2017

Machine Learning–Enabled ECG Wavelet Analysis as Gatekeeper for Diastolic Function Evaluation

JASE

Jun 2017Abstract only
Validation2021

Machine Learning of ECG Waveforms to Improve Selection for Asymptomatic LV Dysfunction Testing (PROMPT)

JACC

Jun 2021Abstract only
Research2018

Prediction of Abnormal Myocardial Relaxation From Signal-Processed Surface ECG

JACC

Apr 2018Abstract only
Pilot2020

Prediction of Coronary Artery Calcium Scoring From Surface ECG in Atherosclerotic CV Disease

ESC

Nov 2020Abstract only
Validation2021

Surface ECG-Based ML Model for Predicting Patient Subgroups at High Risk for Major Adverse Cardiac Events

JACC

May 2021Abstract only
Research2019

Screening for Cardiac Relaxation Abnormalities Using Surface ECG Wavelets — Identifying High-Risk Phenotypes

European Heart Journal

Oct 2019Abstract only
Validation2023

Using Deep Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the ECG

JACC

2023Abstract only
Research2024

Development of a Machine-Learning Model Using ECG Signals to Improve Acute Pulmonary Embolism Screening

JACC: Advances

2024Abstract only
Editorial2020

Digital Phenotyping of Myocardial Dysfunction With 12-Lead ECG: Tiptoeing Into the Future With ML

JACC

Aug 2020Abstract only
Validation2024

ECG-Based ML Emulator Model for Predicting Echocardiography-Derived Phenogroups for Cardiac Risk Stratification

Lancet Digital Health

2024Abstract only
Editorial2021

ML for ECG Diagnosis of LV Dysfunction

JACC

Jun 2021Abstract only
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