Resources


Database Open Access

Cerebral perfusion and cognitive decline in type 2 diabetes

Vera Novak, Rodrigo Quispe, Charles Saunders

Dataset collected during a study on type 2 diabetes on brain blood flow, vasoreactivity and functional outcomes (gait and balance) using TCD, MRI perfusion and foot pressure distribution and gait measures.

vasoregulation brain diabetes

Published: Aug. 5, 2022. Version: 1.0.1

Visualize waveforms

Database Restricted Access

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

Hieu Huy Pham, Hieu Nguyen Trung, Ha Quy Nguyen

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

Published: Aug. 24, 2021. Version: 1.0.0

Database Credentialed Access

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark

Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Tengfei Liu, Cong Wang, xin chen, zhong liu, Caineng Pan, Mengke Li, yingfeng zheng, Yizhi Liu, Flora Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang

Benchmark dataset for report generation based on fundus fluorescein angiography images and reports.

fundus fluorescein angiography medical report generation vision and language explainable and reliable evaluation

Published: Jan. 21, 2025. Version: 1.1.0

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

Published: July 19, 2024. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext clinical decision support for referral, triage and diagnosis

Farieda Gaber, Altuna Akalin

This MIMIC-IV extended dataset is designed to evaluate and improve LLMs' ability to assist with triage, specialist referral, and diagnosis, using critical patient information such as history of present illness,vitals signs and other relevant data.

Published: Oct. 8, 2025. Version: 1.0.2

Database Credentialed Access

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

Rahul Thapa, Andrew Li, Qingyang Wu, Bryan He, Yuki Sahashi, Christina Binder-Rodriguez, Angela Zhang, David Ouyang, James Zou

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

TN-Mammo: A Multi-view Mammography Dataset for Breast Density Classification

Binh Nguyen, Cat Le, Loc Vu, Quynh Nguyen, Ha-Hieu Pham, Phuong Anh Vu, Thuan Huynh, Cao Tien Dung, Nghiem Diep Tuong, Byung-Woo Hong

We release the first version of TN-Mammo (June 2024), a mammogram dataset of 676 cases with breast density labels, providing high-quality data to support machine learning and early breast cancer detection.

Published: Oct. 4, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-Ext-DrugDetection

Fabrice Harel-Canada, Nanyun Peng, David Goodman, Ruby Romero, Allan Nguyen, Brandon Moghanian, Anabel Salimian

This project offers a multilabel annotated dataset of clinical note sentences from MIMIC-III/IV for substance use detection. It supports NLP research for identifying various co-occurring drug use mentions in patient records.

ehr mimic-iv substance use clinical notes methamphetamine multi-label cocaine drug detection polysubstance use prescription opioid misuse cannabis benzodiazepine misuse injection drug use heroin mimic-iii

Published: Sept. 25, 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.

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

Published: Sept. 16, 2025. Version: 1.1.0

Database Credentialed Access

RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports

Jean-Benoit Delbrouck

RadGraph-XL is a large, expert-annotated dataset of 2,300 radiology reports covering multiple modalities and anatomies. It enables accurate extraction of clinical entities and relations for downstream medical AI tasks.

Published: Sept. 12, 2025. Version: 1.0.0