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Database Open Access

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors

Li-wei Lehman, Benjamin Moody, Lucas McCullum, Hasan Saeed, Harsh Deep, Diane Perry, Tristan Struja, Qiao Li, Gari Clifford, Roger Mark

VTaC is an annotated ventricular tachycardia (VT) arrhythmia alarm database containing over 5,000 waveform recordings with VT alarms from ICU monitors, with each alarm labeled as either true or false by at least two human expert annotators.

arrhythmia icu false alarms benchmark dataset ventricular tachycardia machine learning

Published: Oct. 1, 2024. Version: 1.0

Visualize waveforms

Database Restricted Access

VinDr-Mammo: A large-scale benchmark dataset for computer-aided detection and diagnosis in full-field digital mammography

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

A large-scale benchmark dataset for computer-aided detection and diagnosis in mammography

Published: March 21, 2022. 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, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei JI, Eric Chang, Tackeun Kim, Edward Choi

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

Published: July 19, 2024. Version: 1.0.0

Database Credentialed Access

A Temporal Dataset for Respiratory Support in Critically Ill Patients

Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Sicheng Hao, Leo Anthony Celi, Hyung-Chul Lee

A benchmark dataset offering hourly records over a 90-day period for 50,920 ICU subjects, including dynamic pulmonary function data and a spectrum of covariates for respiratory intervention analyses.

oberservational data time-series

Published: April 15, 2025. Version: 1.1.0

Database Credentialed Access

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 Credentialed Access

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Zishan Gu, Jiayuan Chen, Fenglin Liu, Changchang Yin, Ping Zhang

MedVH provides a visual hallucination evaluation benchmark for large language models in the medical context. It formulates tests using chest X-ray images, including multi-choice question answering and long-text generation tasks.

Published: March 11, 2025. Version: 1.0.0

Database Credentialed Access

MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Harshita Sharma, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez Valle, Hoifung Poon, Ozan Oktay

MS-CXR is a new dataset containing 1162 chest X-ray bounding box labels paired with radiology text descriptions, annotated and verified by two board-certified radiologists.

vision-language processing chest x-ray phrase grounding localization

Published: Nov. 15, 2024. Version: 1.1.0

Database Credentialed Access

MIMIC-IV-ECG-Ext-ICD: Diagnostic labels for MIMIC-IV-ECG

Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp

Dataset that links ECG records from MIMIC-IV-ECG to ED discharge and hospital discharge diagnoses, which enables to train general ECG prediction models based on clinical labels and facilitates the retrieval of further clinical metadata from MIMIC-IV.

electrocardiography mimic machine learning

Published: Aug. 30, 2024. Version: 1.0.1

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, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei JI, Eric Chang, Tackeun Kim, Edward Choi

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

Published: July 19, 2024. Version: 1.0.0

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, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei JI, Eric Chang, Tackeun Kim, Edward Choi

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

Published: July 23, 2024. Version: 1.0.0