Resources


Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

clinical decision support artificial intelligence digital health structural heart disease electrocardiogram health equity ecg heart failure transthoracic echocardiogram ai model deployment valvular heart disease machine learning cardiovascular screening ai in healthcare left ventricular dysfunction deep learning population health aortic stenosis

Published: April 30, 2026. Version: 1.1.1


Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, et al.

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

nifti artificial intelligence anonymization clinical diagnosis myocardial perfusion systems modeling myocardial perfusion scintigraphy metadata ventricular walls coronary artery disease convolutional neural networks automated segmentation dicom

Published: Sept. 9, 2025. Version: 1.0.0