Resources

The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…

Critically ill elderly patients, characterized by high mortality and complex comorbidities, pose growing challenges to ICUs while consuming substantial healthcare resources. Current clinical research on this vulnerable population predominantly relie…

The human voice contains complex acoustic markers which have been linked to important health conditions including dementia, mood disorders, and cancer. When viewed as a biomarker, voice is a promising characteristic to measure as it is simple to col…

The human voice contains complex acoustic markers which have been linked to important health conditions including dementia, mood disorders, and cancer. When viewed as a biomarker, voice is a promising characteristic to measure as it is simple to col…

The augsig package is a modular and extensible Python library for physiological signal augmentation. It provides a set of physiologically consistent augmentation methods for biomedical signals, designed to enhance data diversity, improve generalizat…

This dataset is an extension of the Gesture Recognition and Biometrics Electromyogram (GRABMyo) dataset, a comprehensive collection of surface electromyography (sEMG) signals from the forearm and wrist while performing static gestures, designed for …

The applicability of current lesion segmentation models for chest X-rays (CXRs) has been limited both by a small number of target labels and the reliance on complex, expert-level text inputs, creating a barrier to practical use. To address these lim…

The respiratory microbiome plays a critical role in metabolism, immune system maturation, and protection against pathogens. Traditionally, respiratory microbiology in pneumonia focused on identifying a specific pathogen, often disregarding normal or…

Accurate medical decision-making is critical for both patients and clinicians. Patients often find it difficult to interpret their symptoms, determine their severity, and select the right specialist to see. At the same time, clinicians face challeng…

Emergency department (ED) patients often present with undiagnosed complaints, and can exhibit rapidly evolving physiology. Therefore, data from continuous physiologic monitoring, in addition to the electronic health record, is essential to understan…