Resources


Database Open Access

Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014

Lily Koffman, John Muschelli

Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore accelerometers in NHANES 2011-2014.

accelerometry physical activity steps nhanes

Published: May 5, 2025. Version: 1.0.1

Database Credentialed Access

Medical Expert Annotations of Unsupported Facts in Doctor-Written and LLM-Generated Patient Summaries

Stefan Hegselmann, Shannon Shen, Florian Gierse, et al.

Annotations for unsupported facts in 100 original MIMIC patient summaries (discharge instructions) and hallucinations in 100 Large Language Model (LLM) generated patient summaries labeled by two medical experts.

Published: April 30, 2025. Version: 1.0.1

Challenge Credentialed Access

CXR-LT: Multi-Label Long-Tailed Classification on Chest X-Rays

Gregory Holste, Mingquan Lin, Song Wang, et al.

CXR-LT 2024 was a challenge for long-tailed, multi-label, and zero-shot thorax disease classification on chest X-rays, held at MICCAI 2024. This page contains long-tailed labels for 45 diseases from the CXR-LT 2024 and 2023 challenges.

disease classification artificial intelligence chest x-ray deep learning computer-aided diagnosis long-tailed learning cardiopulmonary disease zero-shot learning

Published: March 19, 2025. Version: 2.0.0

Database Open Access

Synthetic Mention Corpora for Disease Entity Recognition and Normalization

Kuleen Sasse, John David Osborne

We present the Synthetic Mention Corpora for Disease Entity Recognition and Normalization, containing 128000 disease mentions from the UMLS disorder group, generated by an LLM. This corpus aims to improve these tasks in biomedical and clinical texts.

nlp machine learning named entity recognition data augmentation entity normalization

Published: Feb. 3, 2025. Version: 1.0.0

Database Restricted Access

CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation

Yuxiang Liao, Hoisang Heung, Hantao Liu, et al.

CXRGraph is a structured radiology report dataset built upon RadGraph and tailored for the Automatic Radiology Report Generation task. It can identify more task-relevant information such as abnormalities and hallucinated prior references.

relation extraction information extraction natural language processing named entity recognition structured radiology report

Published: Feb. 3, 2025. Version: 1.0.0

Database Credentialed Access

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark

Mingjie Li, Wenjia Cai, Rui Liu, et al.

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

fundus fluorescein angiography medical report generation vision and language explainable and reliable evaluation

Published: Jan. 21, 2025. Version: 1.1.0

Database Restricted Access

MIMIC-IV-Ext-DiReCT

Bowen Wang, Jiuyang Chang, Yiming Qian

A diagnostic reasoning dataset designed to evaluate the performance of large language models in aligning with human doctors when making diagnoses from clinical notes.

Published: Jan. 21, 2025. Version: 1.0.0

Database Restricted Access

A database of hand kinematics, high-density sEMG of forearm and wrist for motion intent recognition

Zeming Zhao, Weichao Guo, Zeyu Zhou

A database of hand kinematics, high-density sEMG of forearm and wrist.

Published: Jan. 17, 2025. Version: 1.0.0

Database Contributor Review

Salzburg Intensive Care database (SICdb), a freely accessible intensive care database

Niklas Rodemund, Andreas Kokoefer, Bernhard Wernly, et al.

The SICdb dataset, version 1.0.8 contains 27350 admissions to an ICU in an Austrian tertiary care institution.

clinical intensive care critical care machine learning open data

Published: Sept. 10, 2024. Version: 1.0.8

Database Restricted Access

Multimodal Physiological Indices During Surgery Under Anesthesia

Sandya Subramanian, Bryan Tseng, Riccardo Barbieri, et al.

Multimodal physiological indices collected during surgery when patients were under anesthesia

anesthesia nociception

Published: Aug. 23, 2024. Version: 1.0