Resources

Chest radiographs in DICOM format with associated free-text reports.

RadCoref is a small subset of MIMIC-CXR with manually annotated coreference mentions and clusters. Based on the annotated data, we fine-tuned a deep neural model and used it to annotate the whole MIMIC-CXR dataset. Both data are available.

The dataset is composed of long-lasting surface electromyographic (sEMG) signals recorded from ten muscles during ground walking of 31 young able-bodied subjects in Movement Analysis Lab, Università Politecnica delle Marche, Ancona, Italy.

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

A dataset for balance falls-risk assessment and balance impairment analysis

MIMIC-IV-on-FHIR is a hundred patient demo of MIMIC-IV v2.0 in the Fast Healthcare Interoperability Resources(FHIR) format. MIMIC-IV-on-FHIR provides implementers with a real-world FHIR datastore to aid in FHIR research and development.

The new version added beta blockers in the dat_md.csv file. Dataset comprising hospital-level data on patients who were admitted with heart failure to Zigong Fourth People’s Hospital, Sichuan, China between 2016 and 2019.

RadGraph is a dataset of entities and relations in full-text chest X-ray radiology reports, which are obtained using a novel information extraction (IE) schema to capture clinically relevant information in a radiology report.

Annotations of ten types of medical decisions from discharge summaries in the MIMIC-III database.

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.