Resources


Database Credentialed Access

MIMIC-IV-Echo: Echocardiogram Matched Subset

Brian Gow, Tom Pollard, Nathaniel Greenbaum, et al.

The MIMIC-IV-ECHO module contains structured measurements from over 200,000 echocardiograms and more than 500,000 echocardiogram DICOM files. Patients overlap with those in the MIMIC-IV Clinical Database.

Published: Aug. 25, 2026. Version: 1.0.1

Database Credentialed Access

Structured Viewing Classification Annotations From the MIMIC-IV-ECHO Dataset (ECHOVIEW)

Sampath Rapuri, Sofia Sapeta Dias, Maria Salomé Carvalho, et al.

ECHOVIEW provides structured viewing class annotations for 29,196 transthoracic echocardiograms derived from MIMIC-IV-ECHO using a pretrained CNN. Manual clinician review shows substantial agreement (κ=0.69) with these annotations.

Published: March 17, 2026. Version: 0.1

Database Credentialed Access

MIMIC-IV-ECHO-Ext-MIMICEchoQA: A Benchmark Dataset for Echocardiogram-Based Visual Question Answering

Rahul Thapa, Andrew Li, Qingyang Wu, et al.

We present MIMICEchoQA, a benchmark dataset for echocardiogram-based question answering, built from the publicly available MIMIC-IV-ECHO database.

Published: Oct. 7, 2025. Version: 1.0.0

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

Published: April 30, 2026. Version: 1.1.1