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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,772 datasets
HealthBench provides the evaluation data for OpenAI's medical benchmarking suite, updated as of August 2025. It is designed to work with the simple-evals reference implementation to measure model performance in health-related domains.
As of June 2010, the Master Veteran Index database contained over 17 million patient entries from all VHA facilities nationwide. It serves as the authoritative identity service for VA clients, establishing and synchronizing identities to enable an enterprise-wide view of patient information.
Veterans Affairs Surgical Quality Improvement Program (VASQIP) database contains information on all patients who undergo surgery within the VA healthcare system. The database is a quality assurance activity-derived resource used for provider self-assessment and quality improvement, managed by the VA National Surgery Office. It was formed in 2009 by merging the Cardiac Specialty program with the National Surgical Quality Improvement Program.
The Corporate Data Warehouse (CDW) is the enterprise-level physical implementation of a health data warehouse for the Veterans Health Administration (VHA). It consolidates data from disparate sources, including Veterans Health Information Systems and Technology Architecture (VistA), to support analysis and healthcare delivery. The warehouse has been storing data since 2006, with a renewed expansion effort beginning in 2010.
WFS service of the development plan "Muehlwiesen - Gehren - 2. Aenderung" by Haiterbach Municipality. The data is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on July 31, 2025. It likely contains geospatial features delineating land use changes and zoning amendments for a specific area.
A WMS service provides the development plan "Muehlwiesen - Gehren - 4" transformed according to INSPIRE standards. The dataset was published by the Bundesamt für Kartographie und Geodäsie and last updated on July 31, 2025. It represents an amendment part 2 for the municipality of Haiterbach.
Haiterbach Municipality's development plan 'Muehlwiesen - Gehren - 3. Aenderung' is served via a Web Map Service (WMS). The service is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on July 31, 2025.
A WMS service published on 2025-07-31 by the Bundesamt für Kartographie und Geodäsie. It provides geospatial data for the 'Muehlwiesen - Gehren - 2. Extension' development plan by Haiterbach Municipality. The service likely contains map layers detailing land use and zoning for this specific urban expansion project.
288 images of laboratory reports and prescriptions from Indian healthcare settings, curated by ekacare for validating AI systems that parse medical documents. The dataset was last updated on Hugging Face on July 24, 2025. It is designed to enable the digitization of healthcare data while maintaining clinical accuracy.
Nursing Home Compare contains information on over 15,000 Medicare and Medicaid-certified nursing homes nationwide. The dataset is used to compare the quality of care at these facilities and is provided by the Centers for Medicare & Medicaid Services.
The Department of Veterans Affairs provides data on its Pharmacy Benefits Management Services. The dataset covers prescription, drug, and medication information for Veteran healthcare. It was last updated in August 2025.
A multimodal medical imaging dataset authored by researchers from the University Health Network and Vector Institute, last updated on July 7, 2025. The dataset appears to be designed for medical AI research, likely containing paired imaging data from different modalities. Its specific contents and scale are detailed on its Hugging Face dataset page.
WMS Weilbachstrasse Lehrstrasse and Hurst is a Web Map Service (WMS) providing the urban development plan for the Weilbachstrasse, Lehrstrasse, and Hurst areas of the municipality of Jungingen. The data is transformed according to the INSPIRE directive, a European Union standard for spatial data. The service is provided by the Bundesamt für Kartographie und Geodäsie and was last updated on July 29, 2025.
Survey data details asthma prevalence among children under 18 years old in the United States, broken down by characteristics like age. The dataset originates from the National Health Interview Survey conducted by the National Center for Health Statistics and was last updated in June 2025.
Information about the accounting system and types of information stored at the Kremenchug Hospital of Intensive Treatment in Ukraine. The dataset was published on the States site of Ukraine and was last updated on 2025-07-28 11:04:30.838547. It is available in CSV format.
Reports on work with citizens' appeals to the hospital and requests for information from citizens, sourced from the States site of Ukraine. The dataset was last updated on 2025-07-28 08:17:24.289189 and is available in CSV format.
Since 1977, pediatric growth charts from the CDC illustrate the distribution of body measurements in U.S. children. These percentile curves are used by pediatricians, nurses, and parents to track growth from infancy through adolescence. The charts are tools for clinical assessment, not sole diagnostic instruments.
MIMIC-III Clinical Database is a dataset of de-identified health data associated with patients admitted to critical care units. The dataset was uploaded to HuggingFace by user ntphuc149 and was last updated on 2025-09-01. Its specific contents, such as the number of records and available features, require verification after download.
State-aggregated hospital utilization data in a time series format dating back to January 1, 2020, derived from facility-level reports to HHS. The dataset includes pediatric-specific metrics such as `all_pediatric_inpatient_bed_occupied` and `previous_day_admission_pediatric_covid_confirmed_0_4`, added in April 2022. It is compiled from three main sources: HHS TeleTracking, HHS Protect, and the National Healthcare Safety Network.
UniDataPro released a dataset of 1,080 images on July 8, 2025. The collection features top-view scalp images of 540 women with alopecia, each paired with a segmentation mask. It is designed for machine learning applications focusing on hair follicles, hair density, and scalp health analysis.