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.

machine learning electrocardiography mimic

Published: Aug. 30, 2024. Version: 1.0.1

Database Credentialed Access

MIMIC-III-Ext-PPG: A PPG Benchmark Dataset for Cardiorespiratory Analysis

Mohammad Moulaeifard, Peter H Charlton, Nils Strodthoff

Large-Scale, Quality-Assessed PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis based on MIMIC-III

blood pressure critical care electrocardiogram photoplethysmography signal quality heart rhythm respiratory rate

Published: March 17, 2026. Version: 1.1.0

Database Open Access

Neurophysiological Dataset of Stress Resilience During Human-Computer Interaction

Shotabdi Roy, Joseph Nuamah

This dataset contains multimodal neurophysiological and physiological recordings collected from participants performing cognitively demanding tasks to study the temporal dynamics of stress resilience during human-computer interaction

Published: Feb. 27, 2026. Version: 1.0.0

Database Restricted Access

ALarms, Outcomes Telemetry with Timing (ALOTT): a Bedside-EMR Database

John Lawrence, Mike Rayo, Timothy Huerta

Carescape is a deidentified 9 month period of high resolution telemetry data linked to Electronic Medical Records.

Published: March 19, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-BHC: Labeled Clinical Notes Dataset for Hospital Course Summarization

Asad Aali, Dave Van Veen, Yamin Arefeen, et al.

This dataset presents a collection of preprocessed and labeled clinical notes derived from "MIMIC-IV-Note", and aims to facilitate the development of ML models focused on summarizing brief hospital courses (BHC) from clinical notes.

natural language processing clinical notes machine learning brief hospital course text summarization

Published: Feb. 3, 2025. Version: 1.2.0

Database Credentialed Access

Symile-MIMIC: a multimodal clinical dataset of chest X-rays, electrocardiograms, and blood labs from MIMIC-IV

Adriel Saporta, Aahlad Manas Puli, Mark Goldstein, et al.

A multimodal clinical dataset consisting of CXRs, ECGs, and blood labs, designed to evaluate Symile, a simple contrastive loss that accommodates any number of modalities and allows any model to produce representations for each modality.

database cxr ecg chest x-ray electrocardiogram contrastive learning model multimodal mimic

Published: Jan. 28, 2025. Version: 1.0.0