Resources

An open, large-scale pediatric chest X-ray dataset that contains both lesion-level labels and image-level labels for multiple findings and diseases for interpretation of common thoracic diseases.

A large-scale benchmark dataset for computer-aided detection and diagnosis in mammography

VinDr-SpineXR: A large annotated medical image dataset for spinal lesions detection and classification from radiographs

A radiology NLI dataset introduced in the paper: Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

Clinical action items annotated over MIMIC-III. 718 discharge summaries are labeled at a sentence- and character-level with multiple action labels including Appointment, Lab, Procedure, Medication, Imaging, Patient Instructions, and Other.

Q-Pain, a medical QA dataset designed to enable the substitution of multiple different racial and gender "profiles" for patients and to evaluate whether bias is present when deciding whether to prescribe pain medication or not.

We provide an open access dataset of High Density Surface Electromyogram (HD-sEMG). Our dataset can be used for both hand gesture classification-based neuroprosthetic control and EMG-force regression based proportional neuroprosthetic control.

Dataset comprising the following physiological signals: blood pressure, respiratory rate, blood flow velocity in the middle cerebral arteries and tissue hemoglobin concentration in the prefrontal cortex.

We assessed the impact of 24-hour sleep deprivation on the global properties of frontal lobe functional networks and on cognitive performance. fNIRS measurements were carried out in the resting state and in response to a finger-tapping paradigm.

Functional near-infrared spectroscopy and transcranial doppler sonography were used to measure changes in cerebral hemodynamics during cognitive stimulation.