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.

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

Multimodal dataset with 166k samples for vision-based applications with a smart walker used in gait and posture rehabilitation. It is equipped with a pair of Depth cameras with data synchronized with an inertial MoCap system worn by the participant.

This dataset contains 3032 cases of eye-tracking data collected while five radiologists dictated reports for frontal chest x-rays, synchronized timestamped dictation transcription, and manual labels for validation of localization of abnormalities.