Resources

RuMedNLI is the full counterpart dataset of MedNLI in Russian language.

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.

Smartphone-captured CXR images including photographs taken from MIMIC-CXR and CheXpert, photographs taken by resident doctors, and photographs taken with different devices.

Wide-field calcium imaging database that consists of annotated sleep recording collected from transgenic mice at Washington University of St Louis School of Medicine.

MIMIC-III data converted into TensorFlow SequenceExample format, for use in modeling pipelines.

This is a resource for training machine learning models for language inference in the medical domain.

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 in JPG format with structured labels derived from the associated radiology report.

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

A collection of 151 whole-night PolySomnoGraphic (PSG) sleep recordings from the Haaglanden Medisch Centrum (HMC, The Netherlands) sleep center containing different traces of ExG activity and expert's scorings of sleep stages