Resources


Database Credentialed Access

MIMIC-IV-ECHO-Ext-LVVOLUMES-A4C-ROI: Annotated Subset of Apical Four-Chamber Echocardiography for PoCUS-Style LV Volume and Function Analysis

Kamlin Ekambaram, Anurag Arnab, Philip Herbst, et al.

A curated subset of MIMIC-IV-ECHO providing apical four-chamber cine loops with manual ROI masks, volumetric labels, and ready-to-use MP4/NPZ derivatives for robust LV volume and ejection fraction research.

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Published: Feb. 26, 2026. Version: 1.0.0

Database Credentialed Access

Antibiotic Resistance Microbiology Dataset Mass General Brigham (ARMD-MGB)

Ziming Wei, Sanjat Kanjilal

ARMD-MGB contains detailed microbiology and clinical metadata for >225,000 patients and >970,000 cultures collected over 10 years

medical informatics antimicrobial resistance electronic health records

Published: Dec. 5, 2025. Version: 1.0.0

Database Credentialed Access

Predictors of Hospital Onset Infection: A Matched Retrospective Cohort Dataset

Ziming Wei, Luke Sagers, Caroline McKenna, et al.

NPA-CP is a freely accessible dataset derived from electronic health record (EHR) information at MGB between 2015 and 2024. The dataset includes 11 different pathogens and can be used to predict hospital-onset infections for these pathogens.

electronic health records infection control clinical machine learning infectious diseases hospital onset infection colonization pressure

Published: Nov. 4, 2025. Version: 1.0.0

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.

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Published: Sept. 29, 2025. Version: 0.0.1

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

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 Credentialed Access

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

Amin Dada, Osman Alperen Koras, Marie Bauer, et al.

MeDiSumQA is a dataset of patient-oriented QA pairs from MIMIC-IV discharge summaries, designed to evaluate LLMs in generating safe, patient-friendly medical responses for clinical QA and healthcare communication.

Published: May 5, 2025. Version: 1.0.0

Database Restricted Access

Electrocardiogram-Capable Smartwatches: Assessing Their Clinical Accuracy and Application

Joaquin Recas, Mauro Buelga Suárez, Sergio González-Cabeza, et al.

This database allows the study of the feasibility of using ECG-capable smartwatches as diagnostic tools, focusing on their compliance with clinical standards and their ability to measure critical ECG parameters beyond AF detection.

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Published: April 9, 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 brief hospital course text summarization machine learning

Published: Feb. 3, 2025. Version: 1.2.0