Resources

The Contextualized Race and Ethnicity Annotations for Clinical Text (C-REACT) dataset is a large publicly available corpus of sentences from clinical notes manually annotated for information related to race and ethnicity (RE). The corpus presented h…

Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manne…

"Discharge Me!", part of the BioNLP workshop co-located with ACL 2024, seeks to alleviate the significant burden on clinicians who dedicate substantial time to crafting detailed discharge notes in the EHR. Participants in the task will explore appro…

Both medical care and observational studies in oncology require a thorough understanding of a patient's disease progression and treatment history, often elaborately documented within clinical notes. As large language models (LLMs) are becoming more …

The Kiel Cardio Database, which includes magnetocardiography (MCG) measurements of seven healthy male volunteers, is presented in this publication. QuSpin QZFM Gen 1 sensors were used in a magnetically shielded chamber at the University of Kiel. Eac…

The dataset presented is from 20 healthy adults at the University of Canterbury, where the tests were approved by its Human Research Ethics Committee (HREC) ethics. Data was collected using a modular device simulating the effects of Chronic Obstruct…

Automatically summarizing patients’ main problems from the daily care notes in the electronic health record can help mitigate information and cognitive overload for clinicians and provide augmented intelligence via computerized diagnostic decision s…

Widespread disparities in clinical outcomes exist between different demographic groups in the United States. A new line of work in medical sociology has demonstrated physicians often use stigmatizing language in electronic medical records within cer…

This dataset of electroencephalogram (EEG) activity was collected from subjects undergoing general anesthesia using GABAergic agents. The typical EEG of subjects during unconsciousness mediated by GABAergic anesthetics shows slow-delta oscillations …

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…