Resources

Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …

Electronic Health Records (EHR) contain patient records, stored in structured tables as well as unstructured clinical notes. The information in structured and unstructured EHR records is not strictly disjoint: information may be duplicated, contradi…

To develop robust algorithms for automated diagnosis of medical conditions such as cardiac arrhythmias, researchers require large collections of data with human expert annotations. Currently, there is a lack of accessible, open-source platforms for …

We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named "Hyser"). We acquired data from 20 subjects with each subject participating in our experiment twice on separate days following the same experiment p…

We present the Gesture Recognition and Biometrics ElectroMyogram (GRABMyo) dataset, an open-access dataset of electromyogram (EMG) recordings collected from the wrist and forearm muscles while performing hand gestures. Data were collected from 43 he…

Medical AI Research Foundations is a repository of open-source medical foundation models. With this collection of non-diagnostic models, APIs, and resources like code and data, researchers and developers can accelerate their medical AI research. Thi…

We present a temporal benchmark dataset for clinical respiratory intervention tasks in intensive care unit (ICU) patients, derived from the MIMIC-IV v2.2 dataset. The data consists of 50,920 adult ICU patients and includes 90-day hourly ventilation …

The analysis and identification of abnormal ventricular potentials (AVPs) in intracardiac electrograms (EGMs) are paramount in radiofrequency catheter ablation (RFCA) of post-ischemic ventricular tachycardia (VT). The ARGO dataset represents the fir…

This project is a demo version of the eICU Collaborative Research Database, a multi-center database comprised of deidentified health data for over 200,000 admissions to ICUs across the United States between 2014-2015. The database includes vital sig…

Interoperability of healthcare data has become increasingly important given the increase in deployment of data driven algorithms in clinical settings. The Fast Healthcare Interoperability Resources (FHIR) standard has emerged as a promising mechanis…