Resources

Type 2 diabetes increases risk for cerebrovascular disease, cognitive and mobility decline in older people. This project evaluated relationship between diabetes, inflammation cerebrovascular reactivity and functional outcomes.

This dataset was a collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image, transcribed report text, dictation audio and eye gaze data.

Dataset collected as part of a study that aimed to determine the effects of intranasal insulin on cognition and motor performance in Parkinson's disease.

The MS-CXR-T is a multimodal benchmark that enhances the MIMIC-CXR v2 dataset by including expert-verified annotations. Its goal is to evaluate biomedical visual-language processing models in terms of temporal semantics extracted from image and text.

Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.

Measurements of physical activity with wrist-worn Bosch sensor platform to test predictive performance for the duration of hospitalization and readmission in 58 patients with acute illnesses in internal medicine

This database contains resting recordings of ECG and continuous noninvasive blood pressure of 1,104 healthy volunteers

The KURIAS-ECG database is a high-quality 12-lead ECG DB including standard vocabulary (SNOMED CT, OMOP-CDM), and ECG diagnoses of our DB are grouped into 10 diagnoses by applying the minnesota code.

Benchmark dataset for report generation based on fundus fluorescein angiography images and reports.

Clinical Viewer of raw digital 12-lead ECG file (ECG file in .txt format).