Resources


Database Open Access

MIMIC-IV demo data in the Medical Event Data Standard (MEDS)

Robin Philippus van de Water, Ethan Steinberg, Michael Wornow, et al.

MIMIC-IV Clinical Database Demo in MEDS (Medical Event Data Standard) format.

ehr critical care electronic health record mimic meds medical event data standard machine learning

Published: Sept. 29, 2025. Version: 0.0.1

Database Credentialed Access

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp

Jing Wang, Xing Niu, Tong Zhang, et al.

It is a time series clinical events dataset with concrete temporal information. The dataset consists of 22,588,586 clinical events and related timestamps from 267,284 discharge summaries of the MIMIC-IV-Note.

mimic clinical event annotation time series temporal annotation

Published: Sept. 29, 2025. Version: 1.0.0

Database Credentialed Access

Multimodal Clinical Monitoring in the Emergency Department (MC-MED)

Aman Kansal, Emma Chen, Tom Jin, et al.

A multimodal dataset of deidentified clinical and physiological data from emergency department visits, supporting research on patient outcomes, care processes, and the effects of continuous monitoring during and after the COVID-19 pandemic.

Published: Sept. 25, 2025. Version: 1.0.1

Database Credentialed Access

MIMIC-Ext-DrugDetection

Fabrice Harel-Canada, Nanyun Peng, David Goodman, et al.

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.

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Published: Sept. 25, 2025. Version: 1.0.0

Database Credentialed Access

RadVLM Instruction Dataset

Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruiperez-Campillo, et al.

This dataset is designed to construct RadVLM, a vision–language model for chest X-ray interpretation. It includes instruction data for tasks such as report generation, abnormality detection, and region grounding, and multitask conversation.

chest x-rays vision-language models medical ai

Published: Sept. 25, 2025. Version: 1.0.0

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

Database Restricted Access

mcPHASES: A Dataset of Physiological, Hormonal, and Self-reported Events and Symptoms for Menstrual Health Tracking with Wearables

Blue Lin, Jin Yi Li, Kaavya Kalani, et al.

This initial version of the PHASES dataset includes multimodal menstrual health data—hormone levels, wearable sensor metrics, and self-reported symptoms—collected across two study intervals from 42 young adults.

wearables hormones menstrual health multimodal health health sensor data womens health

Published: Sept. 9, 2025. Version: 1.0.0

Database Open Access

Myocardial perfusion scintigraphy image database

Wesley Calixto, Solange Nogueira, Fernanda Luz, et al.

This database provides a collection of myocardial perfusion scintigraphy images. The dataset encompasses a diversity of clinical cases, including various perfusion patterns and underlying cardiac conditions.

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Published: Sept. 9, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-Instr: A Dataset of 450K+ EHR-Grounded Instruction-Following Examples

Zhenbang Wu, Anant Dadu, Mike Nalls, et al.

This dataset contains 450K open-ended instruction-following examples generated using GPT-3.5 based on the MIMIC-IV EHR database.

large language models medical question answering instruction tuning

Published: Sept. 9, 2025. Version: 1.0.0

Database Restricted Access

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

Meishar Meisel, Benjamin Alfred Cohen, Meital Baskin, et al.

The HYAMD dataset comprises 1,560 high-resolution fundus images from 325 patients, aimed at validating machine learning models for age-related macular degeneration (AMD) diagnosis.

Published: Sept. 9, 2025. Version: 1.0.0