Resources


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 Credentialed Access

National Institutes of Health Stroke Scale (NIHSS) Annotations for the MIMIC-III Database

Jiayang Wang, Xiaoshuo Huang, Lin Yang, et al.

A dataset of annotated NIHSS scale items and corresponding scores from stroke patients discharge summaries in MIMIC-III.

Published: Jan. 25, 2021. 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

CAD-Chest: Comprehensive Annotation of Diseases based on MIMIC-CXR Radiology Report

Mengliang Zhang, Xinyue Hu, Lin Gu, et al.

The CAD-Chest dataset provides comprehensive annotations of disease, including disease severity, uncertainty, and location based on the MIMIC-CXR radiologist reports.

chesr x-ray disease label

Published: Dec. 8, 2023. Version: 1.0

Database Credentialed Access

Curated Data for Describing Blood Glucose Management in the Intensive Care Unit

Aldo Robles Arévalo, Roselyn Mateo-Collado, Leo Anthony Celi

The data subsets consist of time series files that includes all the curated entries of glucose readings and insulin inputs from MIMIC-III database.

insulin replacement therapy glycemic control critical care

Published: April 19, 2021. Version: 1.0.1

Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp machine learning named entity recognition data augmentation entity normalization

Published: Feb. 3, 2025. Version: 1.0.0

Database Restricted Access

Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19

Jose Tamez-Peña, Adam Yala, Servando Cardona, et al.

Thermal videos of people with positive and negative COVID-19 tests.

thermal videos sars-cov-2 clinical symptoms covid-19

Published: Aug. 16, 2021. Version: 1.1

Database Credentialed Access

PIFIR: PET-CT Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jeremy Ong, et al.

A corpus of PET-CT reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 27, 2025. Version: 1.0.0

Database Credentialed Access

CHIFIR: Cytology and Histopathology Invasive Fungal Infection Reports

Vlada Rozova, Anna Khanina, Jasmine Teng, et al.

A corpus of cytology and histopathology reports annotated for terminology relevant to fungal infections. Ideal for validation of named entity recognition and relation extraction methods.

nlp clinical documentation information extraction invasive fungal infections

Published: Feb. 20, 2024. Version: 1.0.2

Model Credentialed Access

Clinical BERT Models Trained on Pseudo Re-identified MIMIC-III Notes

Eric Lehman, Sarthak Jain, Karl Pichotta, et al.

We explore recovering sensitive info from BERT trained over non-deidentified EHR. We make our models and data available to further facilitate research.

Published: April 28, 2021. Version: 1.0.0