Resources


Database Credentialed Access

RaDialog Instruct Dataset

Chantal Pellegrini, Ege Özsoy, Benjamin Busam, Nassir Navab, Matthias Keicher

Image-based instruct data for Chest X-Ray understanding and analysis.

radiology report generation large vision-language models medical image understaning radiology assistant radiology chatbot

Published: March 25, 2024. Version: 1.0.0


Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

Early detection of heart failure is vital for improving outcomes. The dataset contains 71,589 CXRs paired with gold standard labels from echocardiograms to enable the training of models to detect pathologies indicative of early stage heart failure.

heart failure chest x-rays deep learning early detection cardiac structural abnormalties

Published: March 20, 2024. Version: 1.0.0


Database Credentialed Access

A Brazilian Multilabel Ophthalmological Dataset (BRSET)

Luis Filipe Nakayama, Mariana Goncalves, Lucas Zago Ribeiro, Helen Santos, Daniel Ferraz, Fernando Malerbi, Leo Anthony Celi, Caio Regatieri

This is the first Brazilian Multilabel Ophthalmological Dataset with demographic information and retinal photos labeled images according to anatomical parameters, quality control, and presumed diagnosis.

dataset ophthalmology retina

Published: March 8, 2023. Version: 1.0.0


Database Credentialed Access

Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center

Senjun Jin, Lin Chen, Kun Chen, Zhongheng Zhang

Chinese critical care database from electronic healthcare records in a tertiary care medical center

critical care database china

Published: Jan. 19, 2023. Version: 1.0


Database Credentialed Access

Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization

Yanjun Gao, John Caskey, Timothy Miller, Brihat Sharma, Matthew Churpek, Dmitriy Dligach, Majid Afshar

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

Published: Sept. 30, 2022. Version: 1.0.0


Database Restricted Access

Multimodal Physiological Monitoring During Virtual Reality Piloting Tasks

Hrishikesh Rao, Emilie Cowen, Sophia Yuditskaya, Laura Brattain, Jamie Koerner, Gregory Ciccarelli, Ronisha Carter, Vivienne Sze, Tamara Broderick, Hayley Reynolds, Kyle McAlpin, Thomas Heldt

Physiologic and flight performance data from a virtual reality task. Data for the CogPilot Data Challenge.

Published: Aug. 25, 2022. Version: 1.0.0


Software Credentialed Access

Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays

Luis R Soenksen, Yu Ma, Cynthia Zeng, Leonard David Jean Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly Wiberg, Michael Li, Ignacio Fuentes, Dimitris Bertsimas

Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays

database code multimodality

Published: Aug. 23, 2022. Version: 1.0.1


Database Credentialed Access

Chest X-ray segmentation images based on MIMIC-CXR

Li-Ching Chen, Po-Chih Kuo, Ryan Wang, Judy Gichoya, Leo Anthony Celi

A chest x-rays segmentation dataset derived from MIMIC-CXR based on deep learning algorithm and human examination.

segmentation chest x-rays cxr

Published: Aug. 18, 2022. Version: 1.0.0


Challenge Open Access

Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020

Erick Andres Perez Alday, Annie Gu, Amit Shah, Chengyu Liu, Ashish Sharma, Salman Seyedi, Ali Bahrami Rad, Matthew Reyna, Gari Clifford

The goal of the 2020 PhysioNet - Computing in Cardiology Challenge is to design and implement a working, open-source algorithm that can automatically identify cardiac abnormalities in 12-lead ECG recordings.

Published: July 29, 2022. Version: 1.0.2

Visualize waveforms

Database Credentialed Access

NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies with Longitudinal Clinical Data

Harlin Lee, Boyue Li, Yungui Huang, Yuejie Chi, Simon Lin

The NCH Sleep DataBank includes 3,984 pediatric sleep studies on 3,673 unique patients conducted at Nationwide Children's Hospital between 2017 and 2019. It contains polysomnography (PSG), clinical annotations, and longitudinal clinical data.

eeg ehr polysomnography pediatrics clinical decision support sleep disorders sleep study electronic health records ecg

Published: Oct. 27, 2021. Version: 3.1.0