Resources

We present a large-scale CXR VQA dataset derived from MIMIC-CXR with 42M QA pairs, featuring hierarchical answers, bounding boxes, and structured tags. We generated QA-pairs using LLM-based extraction from radiology reports and localization models.

The MIMIC-IV-ECHO module contains structured measurements from over 200,000 echocardiograms and more than 500,000 echocardiogram DICOM files. Patients overlap with those in the MIMIC-IV Clinical Database.

SCRIPT contains clinical data and physician adjudication from patients admitted to an intensive care unit, received mechanical ventilation, and underwent bronchoalveolar lavage sampling because of pneumonia suspicion.

Medical Information Mart for Intensive Care Brazil (MIMIC-BR) is a Brazilian dataset of hospital and ICU adult patients anonymized data. It includes 31,789 admissions to the Einstein Hospital Israelita during a period of 3 years in the last 10 years

De-identified serum metabolomics from an Australian cohort of adults with and without biopsy-proven MASLD. Includes 1,618 targeted metabolomic features quantified by UPLC-MS/MS (Metabolon Inc.).

Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore accelerometers in NHANES 2011-2014.

A dataset for atrial fibrillation detection research with 596 labelled 10-second ECGs from an ICU in Kingston, Ontario, Canada.

This is the first Brazilian Multilabel Ophthalmological Dataset with demographic information and retinal photos labeled images according to anatomical parameters, quality control, and presumed diagnosis.

ARGO comprises post-ischemic ventricular tachycardia intracardiac EGMs, 12-lead surface ECGs, and electroanatomical mapping data. It offers a validated ground truth for EGM annotation and delineation by three clinical experts and their consensus.

Openly available research dataset intended for offline reinforcement learning (ORL) using natively irregular healthcare data. The dataset is intended to encourage further research into ORL methods using naturally sporadic decision intervals.