Resources

SensSmartTech is a unique multiparametric dataset recorded systematically at rest and during the relaxation after activity. It contains the simultaneously recorded electrocardiogram, phonocardiogram, arterial plethysmograms and seismocardiogram.

9,606 Synthetic Discharge Summaries generated by GPT-3.5 based on combinations of ICD-10-code descriptions associated with real discharge summaries in MIMIC-IV. Focus on low resource codes.

Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and Critical View of Safety (CVS) prediction, contributing to safe laparoscopic cholecystectomy.

This contains wearable device data from Fitbit, Garmin, and Apple Watch users. The data is from April 2nd, 2020 to March 21st, 2021 and has been date-shifted. An appropriate amount has also shifted test dates for each user.

A freely available COVID-rich ICU database comprising de-identified health-related data from Northwestern Memorial Health Center (NHMC).

MS-CXR is a new dataset containing 1162 chest X-ray bounding box labels paired with radiology text descriptions, annotated and verified by two board-certified radiologists.

MIMIC-IV and MIMIC-IV-ED data mapped into FHIR resources.

The database is intended to support a wide array of research studies involving radiomics in sepsis patients, helping to reduce barriers to the reproducibility of clinical research.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

Two sets of gold-standard annotations for race and ethnicity information from clinical notes in MIMIC-III. Contains race and ethnicity label assignments and related information such as country of origin and spoken language.