Resources


Database Credentialed Access

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

We present EHRXQA, the first multi-modal EHR QA dataset combining structured patient records with aligned chest X-ray images. EHRXQA contains a comprehensive set of QA pairs covering image-related, table-related, and image+table-related questions.

question answering electronic health records evaluation chest x-ray multi-modal question answering ehr question answering semantic parsing benchmark visual question answering machine learning deep learning

Published: July 23, 2024. Version: 1.0.0

Database Credentialed Access

MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

We introduce MIMIC-Ext-MIMIC-CXR-VQA, a complex, diverse, and large-scale dataset designed for Visual Question Answering (VQA) tasks within the medical domain, focusing primarily on chest radiographs.

question answering electronic health records evaluation chest x-ray radiology benchmark multimodal visual question answering machine learning deep learning

Published: July 19, 2024. Version: 1.0.0

Database Credentialed Access

mBRSET, a Mobile Brazilian Retinal Dataset

Luis Filipe Nakayama, Lucas Zago Ribeiro, David Restrepo, et al.

mBRSET - a Mobile Brazilian Retinal Dataset

ophthalmology retina

Published: June 26, 2024. Version: 1.0

Database Open Access

PADS - Parkinsons Disease Smartwatch dataset

Julian Varghese, Alexander Brenner, Lucas Plagwitz, et al.

The PADS dataset contains smartwatch-based records from interactive neurological assessments of Parkinsons disease patients, differential diagnoses and healthy controls. The data is complemented with non-motor symptoms and medical history information

wearables movement disorders parkinsons disease

Published: March 25, 2024. Version: 1.0.0

Database Open Access

Respiratory and heart rate monitoring dataset from aeration study

Ella Frances Sophia Guy, Isaac Flett, Jaimey Anne Clifton, et al.

Respiratory and cardiovascular data collected from 20 subjects. Pressure, flow, aeration, and heart-rate data were collected during trials which included resting breathing, CPAP at varied PEEP settings, breath-holds, and forced expiratory manoeuvres.

Published: March 20, 2024. Version: 1.0.0

Database Credentialed Access

EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM)

Gloria Hyunjung Kwak, Dana Moukheiber, Mira Moukheiber, et al.

A structured echocardiogram database derived from 43,472 observational notes obtained during echocardiogram studies conducted in the intensive care unit at the Beth Israel Deaconess Medical Center between 2001 and 2012.

Published: Feb. 23, 2024. Version: 1.0.0

Database Open Access

A Comprehensive Dataset of Pattern Electroretinograms for Ocular Electrophysiology Research: The PERG-IOBA Dataset

Itziar Fernández, Ruben Cuadrado Asensio, Yolanda Larriba, et al.

336 CSV records with 1354 PERG responses (microvolts) from 304 subjects at IOBA. Includes age (years), gender, diagnoses, and visual acuity in logMar scale.

Published: Jan. 19, 2024. Version: 1.0.0

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, et al.

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

Published: Dec. 14, 2023. Version: 2.1

Visualize waveforms

Database Credentialed Access

CAD-Chest: Comprehensive Annotation of Diseases based on MIMIC-CXR Radiology Report

Mengliang Zhang, Xinyue Hu, Lin Gu, et al.

The CAD-Chest dataset provides comprehensive annotations of disease, including disease severity, uncertainty, and location based on the MIMIC-CXR radiologist reports.

chesr x-ray disease label

Published: Dec. 8, 2023. Version: 1.0

Database Open Access

Respiratory dataset from PEEP study with expiratory occlusion

Ella Frances Sophia Guy, Jaimey Anne Clifton, Trudy Caljé-van der Klei, et al.

Outlined is a pressure, flow, volume, dynamic circumference, and EIT assessed aeration dataset from resting breathing with REO at increasing CPAP PEEP settings. Vapers, asthmatics, smokers, and otherwise healthy people were included in the trial.

Published: Nov. 10, 2023. Version: 1.0.0