Resources


Database Credentialed Access

RadGraph2: Tracking Findings Over Time in Radiology Reports

Adam Dejl, Sameer Khanna, Patricia Therese Pile, et al.

RadGraph2 is a dataset of 800 chest radiology reports annotated using a fine-grained entity-relationship schema, which captures key findings as well as mentions of changes that occurred in comparison with the previous radiology studies.

relation extraction chest x-rays disease progression information extraction radiology reports named entity recognition

Published: Aug. 8, 2024. Version: 1.0.0

Database Open Access

Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX)

Amos Rubin Calamida, Farhad Nooralahzadeh, Morteza Rohanian, et al.

The RadEvalX is a publicly available dataset developed similarly to the ReXVal dataset. RedEvalX focuses on radiologist evaluations of errors found in automatically generated radiology reports.

Published: June 18, 2024. Version: 1.0.0

Model Credentialed Access

Me-LLaMA: Foundation Large Language Models for Medical Applications

Qianqian Xie, Qingyu Chen, Aokun Chen, et al.

Me-LLaMA is a family of large language models for medical applications trained using clinical text with LLaMA2 models as the base. We release model weights for the foundation models as well as the chat-enhanced models.

large language models

Published: June 5, 2024. Version: 1.0.0

Database Restricted Access

CheXchoNet: A Chest Radiograph Dataset with Gold Standard Echocardiography Labels

Pierre Elias, Shreyas Bhave

Early detection of heart failure is vital for improving outcomes. The dataset contains 71,589 CXRs paired with gold standard labels from echocardiograms to enable the training of models to detect pathologies indicative of early stage heart failure.

chest x-rays early detection cardiac structural abnormalties heart failure deep learning

Published: March 20, 2024. Version: 1.0.0

Database Credentialed Access

EHR-DS-QA: A Synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems

Konstantin Kotschenreuther

Dataset consisting of question and answer pairs synthetically generated from medical discharge summaries, designed to facilitate the training and development of large language models specifically tailored for healthcare applications

mimic-iv clinical question-answering medical discharge summaries large language models

Published: Jan. 11, 2024. Version: 1.0.0

Model Credentialed Access

Characterization of Stigmatizing Language in Medical Records

Keith Harrigian, Ayah Zirikly, Brant Chee, et al.

A suite of classifiers for detecting three types of stigmatizing language in electronic medical records. Trained on MIMIC-IV discharge notes.

clinical natural language processing domain transfer bias stigmatizing language mimic large language models

Published: Nov. 6, 2023. Version: 1.0.0

Database Open Access

MIMIC-IV-ECG: Diagnostic Electrocardiogram Matched Subset

Brian Gow, Tom Pollard, Larry A Nathanson, et al.

The MIMIC-IV ECG module contains approximately 800,000 diagnostic electrocardiograms across nearly 160,000 unique patients. These patients overlap with the patients from the MIMIC-IV Clinical Database.

Published: Sept. 15, 2023. Version: 1.0

Visualize waveforms

Database Credentialed Access

Annotated MIMIC-IV discharge summaries for a study on deidentification of names

Shulammite Lim, Yuxin Xiao, Alistair Johnson, et al.

Annotated MIMIC-IV discharge summaries used to explore deidentification of names

deidentification fairness

Published: July 5, 2023. Version: 1.0

Database Credentialed Access

Radiology Report Expert Evaluation (ReXVal) Dataset

Feiyang Yu, Mark Endo, Rayan Krishnan, et al.

The Radiology Report Expert Evaluation (ReXVal) Dataset is a publicly available dataset of radiologist evaluations of errors in automatically generated radiology reports.

Published: June 20, 2023. Version: 1.0.0

Database Credentialed Access

Establishment of a Chinese critical care database from electronic healthcare records in a tertiary care medical center

Senjun Jin, Lin Chen, Kun Chen, et al.

Chinese critical care database from electronic healthcare records in a tertiary care medical center

china database critical care

Published: Jan. 19, 2023. Version: 1.0