Resources

We present an extended version of the CheXmask dataset, augmenting the original anatomical segmentation masks of chest X-rays with node-wise uncertainty estimates. The dataset retains the comprehensive coverage of five public sources—ChestX-ray8, Ch…

This study presents MIMIC-III-Ext-SBDH, a manually reviewed and consolidated annotation dataset of social and behavioral determinants of health (SBDH) derived from clinical notes in the MIMIC-III database. We previously developed SBDH-Reader, a larg…

The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled ophthalmological dataset designed to improve scientific community development and validate machine learning models. In ophthalmology, ancillary exams support medical decisi…

MIMIC-III-Ext-PPG is a large-scale, annotated, and quality-assessed dataset of photoplethysmogram (PPG) segments extracted from the MIMIC-III Waveform Database Matched Subset. It contains around 6.3 million non-overlapping 30-second segments from 6,…

This dataset provides multimodal neurophysiological and physiological recordings collected to investigate stress resilience. It comprises electroencephalography, functional near-infrared spectroscopy, electrodermal activity, blood volume pulse, inte…

ALOTT is a pilot project that gathered telemetry data from 270 beds and over 15,000 hospital admissions from September 2018 through November 2020 at The James Cancer Hospital and Ross Heart Hospital. ALOTT contains telemetry waveforms, such as elect…

This dataset presents a curated collection of preprocessed and labeled clinical notes derived from the MIMIC-IV-Note database. The primary aim of this resource is to facilitate the development and training of machine learning models focused on summa…

Symile-MIMIC is a multimodal clinical dataset derived from MIMIC-IV and MIMIC-CXR, consisting of chest X-rays (CXRs), electrocardiograms (ECGs), and blood laboratory tests. It was developed to evaluate Symile, a contrastive learning objective design…

Precise pain assessment is essential for medical professionals to provide appropriate treatment. However, not every patient can verbalize their pain due to various reasons, such as speech disorders or language barriers. In these cases, medical pract…

Surface electromyography (sEMG) signals reflect spinal motor neuron activities and can be used as intuitive inputs for human-machine interaction (HMI) via movement intent recognition. The motor neuron potentials of far-field (wrist) and near-field (…