Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,211 datasets
WHO data enumerates the global stock of health workers excluding doctors and nurses. The World Health Organization compiles this information to monitor health workforce capacity. The dataset's specific temporal coverage and record count are not provided.
World Health Organization data on the number of radiographers across countries. The dataset provides a cross-sectional view of the global diagnostic imaging workforce. It is compiled by the WHO's Global Health Observatory.
WHO data on the proportion of populations pushed into or further into poverty due to out-of-pocket health spending. The dataset provides global estimates for monitoring financial hardship in healthcare. It is produced by the World Health Organization.
A dataset from the World Health Organization (WHO) containing counts of medical assistants across countries. It provides a snapshot of the global health workforce distribution for this specific occupation. The data is part of the WHO's Global Health Observatory repository.
World Health Organization data enumerates the total number of medical doctors not further specialized in each reporting country. The dataset aggregates national-level workforce statistics, likely compiled from member state administrative reports. This provides a foundational metric for assessing primary healthcare capacity worldwide.
World Health Organization data provides estimates on large health expenditures as a share of total expenditure or income. The dataset covers global health financing indicators compiled by the WHO. Specific temporal coverage and volume details are not provided.
WHO data tracks the national-level count of community health workers, a critical frontline workforce for primary healthcare. The dataset originates from the World Health Organization's Global Health Observatory, a primary source for international health statistics. Specific temporal coverage, row count, and update frequency are not provided in the input metadata.
Patient-level train, calibration, test, and test-retest splits for nine Positron Emission Tomography (PET) tasks. The dataset is hosted on Kaggle and appears designed for benchmarking machine learning models in medical imaging. The specific source institution, collection date, and data volume are not provided in the available metadata.
PET-FM-Bench is a dataset for a stage-2 audit input, focusing on patient-ID intersections. The dataset appears to be part of a benchmark or audit process for medical or clinical tasks. It was sourced from Kaggle, but specific details on its creation, size, and authorship are not provided.
PET-FM-Bench Phase 2 provides permutation-test inputs for a within-patient analysis. The data is structured for Tier 1 and Tier 2 evaluations, specifically for the CT-FM model using T7 and T8 data splits. It is hosted on Kaggle, but the author, organization, and specific data volume are unknown.
Cardiovascular disease data published on Kaggle. The dataset's specific content, size, and origin are unknown from the provided metadata. Users must download the dataset to verify its actual features and scope.
Teen Mental Health is a dataset published on Kaggle. Its specific content and scale are unknown from the provided metadata. The dataset likely contains survey or clinical data related to adolescent mental health.
Dashboard data for home healthcare training. The dataset is hosted on Kaggle. Its specific contents, such as the number of records or features, are not detailed in the available metadata.
A dataset of de-identified health data associated with patients admitted to critical care units. The dataset is published on Kaggle, but its specific size, time range, and authorship details are not provided in the available metadata. Its content likely contains clinical variables and patient outcomes from intensive care settings.
Health Articles Dataset Indonesia is a collection of text data published on Kaggle. The dataset likely contains articles related to health topics written in Indonesian. Specific details such as the number of articles, author, and creation date are not provided in the available metadata.
Manalagi Apple Disease Dataset is hosted on Kaggle. The dataset likely contains images of Manalagi apples for agricultural analysis. Metadata is minimal; actual content requires verification after download.
MM 2020/W34 refers to a dataset concerning sexual and reproductive health and rights. The data is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the available metadata. Further inspection after download is required to confirm the exact variables, collection methodology, and temporal scope.
Functioning as titled 'dermatology' and originates from the OpenML platform. No information is available regarding its size, structure, or content.
Data from the American Dental Association's Health Policy Institute details the supply of active dentists across U.S. states. It provides estimates categorized by subtopic, subgroup, and time period. The dataset is hosted by data.cdc.gov and was last updated in January 2026.
Real-world images of citrus leaves collected from farms. The dataset is intended for developing AI models to detect plant diseases. The specific number of images, collection date, and originating organization are not provided.