Resources


Database Credentialed Access

SCRIPT X2B8 Dataset: per-day clinical features to model successful next-day extubation

Sam Fenske, Alec Peltekian, Mengjia Kang, et al.

This dataset contains electronic health record (EHR) data from ICU patients receiving mechanical ventilation, aggregated on a daily basis, along with annotations of intubation, extubation, tracheostomy days, and cases of failed extubation. Data can b

Published: Jan. 28, 2025. Version: 1.0.0

Database Credentialed Access

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

Mingjie Li, Wenjia Cai, Rui Liu, et al.

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-IV-Ext-GPT-3_5-Generated-Discharge-Summaries-for-Low-Resource-Codes

Matúš Falis, Aryo Pradipta Gema, Hang Dong, et al.

9,606 Synthetic Discharge Summaries generated by GPT-3.5 based on combinations of ICD-10-code descriptions associated with real discharge summaries in MIMIC-IV. Focus on low resource codes.

icd coding large language model data augmentation

Published: Dec. 16, 2024. Version: 1.0.0

Model Credentialed Access

Shareable Artificial Intelligence to Extract Cancer Outcomes from Electronic Health Records for Precision Oncology Research

Kenneth Kehl, Pavel Trukhanov, Christopher Fong, et al.

The DFCI-imaging-student and DFCI-medonc-student AI models for extracting cancer outcomes from imaging reports and medical oncologist notes from electronic health records.

Published: Oct. 24, 2024. Version: 1.0.0

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.

mimic electrocardiography machine learning

Published: Aug. 30, 2024. Version: 1.0.1

Database Restricted Access

JSMF ACCESS intraoperative derived EEG data set

Paul Garcia, Sebastian Zinn, Jamie Sleigh

Processed intraoperative frontal EEG data from 646 surgical patients under general anaesthesia. The dataset includes derived EEG measures for studying anaesthetic brain states, emergence trajectories, and postoperative delirium screening.

anesthesia eeg delirium surgery burstsupression

Published: Sept. 21, 2026. Version: 1.0.0

Database Open Access

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

Li-wei Lehman, Benjamin Moody, Lucas McCullum, et al.

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 ventricular tachycardia icu false alarms benchmark dataset machine learning

Published: Sept. 14, 2026. Version: 1.1

Visualize waveforms

Database Open Access

CheXmask-U: Uncertainty Estimation for Landmark-Based Anatomical Segmentation Masks in Chest X-ray Images

Matias Cosarinsky, Nicolas Gaggion, Enzo Ferrante

CheXmask-U provides anatomical segmentation masks of chest X-rays derived from landmarks with node-wise uncertainty estimates, enabling landmark-level and image-level analysis for uncertainty-aware research and robustness evaluation.

uncertainty-aware landmark segmentation

Published: Sept. 2, 2026. Version: 1.0.0

Database Credentialed Access

MIMIC-III-Ext-SBDH: An annotated social and behavioral determinants of health dataset

Zifan Gu, Lesi He, Donghan Yang

An annotated social and behavioral determinants of health dataset derived from clinical notes in the MIMIC-III database.

Published: Sept. 1, 2026. Version: 1.0.0

Database Credentialed Access

A Brazilian Multilabel Ophthalmological Dataset (BRSET)

Luis Filipe Nakayama, Mariana Goncalves, Lucas Zago Ribeiro, et al.

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 retina ophthalmology

Published: July 27, 2026. Version: 1.0.2