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MIMIC-III-Ext-tPatchGNN
Chenlong Yin, Weijia Zhang
The processed MIMIC-III dataset for the benchmark of Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach.
Published: April 9, 2025.
Version: 1.0.0
Database
Open Access
Heart and lung segmentations for MIMIC-CXR/MIMIC-CXR-JPG and Montgomery County TB databases
Benjamin Duvieusart, Felix Krones, Guy Parsons, et al.
Heart and lung segmentations for 200 MIMIC-CXR/MIMIC-CXR-JPG chest x-rays and heart segmentations for 138 Montgomery County tuberculosis chest X-rays.
segmentation
heart and lungs
montgomery country tb
mimic-cxr
Published: Aug. 14, 2023.
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
artificial intelligence
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
Published: April 30, 2026.
Version: 1.1.1
Database
Credentialed Access
MIMIC-IV-Ext Triage Instruction Corpus
Qingyang Shen, Quan Guo
MIMIC-IV-Ext Triage Instruction Corpus includes 9,629 ED triage cases organized by the five-level ESI, enabling LLMs to improve triage accuracy. It provides CSV data, generation prompts, expert validation samples, and SQL QC scripts.
nlp
clinical decision support
large language models
emergency severity index
emergency triage
machine learning
Published: March 4, 2025.
Version: 1.0.0
Database
Contributor Review
COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales
Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, et al.
COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.
covid-19
multimodal database
radiological images
open data
healthcare data
machine learning and ai
Published: Oct. 25, 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
deep learning
machine learning
Published: July 19, 2024.
Version: 1.0.0
Maintained by the MIT Laboratory for Computational Physiology
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Heart Lung and Blood Institute (NHLBI), and NIH Office of the Director under NIH grant numbers U24EB037545 and R01EB030362
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