Development and validation of echocardiography-based machine-learning models to predict mortality

Minimally Clinically Important Difference in Health Status Scores in Patients With HFrEF vs HFpEF

(2022) Javed Butler et al.   JACC-Heart Failure

Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality

(2021) Alvaro E. Ulloa Cerna et al.   Nature Biomedical Engineering

2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

(2021) Theresa A McDonagh et al.   EUROPEAN HEART JOURNAL

Prognostic value of stress cardiovascular magnetic resonance in asymptomatic patients without known coronary artery disease

(2021) Théo Pezel et al.   EUROPEAN RADIOLOGY

Head‐to‐head comparison of contemporary heart failure risk scores

(2021) Pau Codina et al.   EUROPEAN JOURNAL OF HEART FAILURE

Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

(2020) Salim S. Virani et al.   CIRCULATION

Minimal clinically important difference in quality of life scores for patients with heart failure and reduced ejection fraction

(2020) Javed Butler et al.   EUROPEAN JOURNAL OF HEART FAILURE

Video-based AI for beat-to-beat assessment of cardiac function

(2020) David Ouyang et al.   NATURE

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

(2020) Partho P. Sengupta et al.   JACC-Cardiovascular Imaging

Multi‐modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45%

(2020) Gary Tse et al.   ESC Heart Failure

Feature-Tracking Global Longitudinal Strain Predicts Mortality in Patients With Preserved Ejection Fraction

(2019) Simone Romano et al.   JACC-Cardiovascular Imaging

Feature-Tracking Global Longitudinal Strain Predicts Death in a Multicenter Population of Patients with Ischemic and Nonischemic Dilated Cardiomyopathy Incremental to Ejection Fraction and Late Gadolinium Enhancement

(2018) Simone Romano et al.   JACC-Cardiovascular Imaging

Predicting Survival From Large Echocardiography and Electronic Health Record Datasets

(2018) Manar D. Samad et al.   JACC-Cardiovascular Imaging

Absence of Myocardial Fibrosis Predicts Favorable Long-Term Survival in New-Onset Heart Failure

(2018) Ankur Gulati et al.   Circulation-Cardiovascular Imaging

Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography

(2018) Joon-myoung Kwon et al.   ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

(2017) Novanto Yudistira et al.   EURASIP Journal on Image and Video Processing

Right atrial volume by cardiovascular magnetic resonance predicts mortality in patients with heart failure with reduced ejection fraction

(2017) Alexander Ivanov et al.   PLoS One

Automated Algorithmic Software in Echocardiography

(2015) Nicholas Furiasse et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

The Alberta Heart Failure Etiology and Analysis Research Team (HEART) study

(2014) Justin A Ezekowitz et al.   BMC Cardiovascular Disorders

Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies

(2012) Stuart J. Pocock et al.   EUROPEAN HEART JOURNAL