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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,512 datasets
Russell L. Boxley of Alliant International University authored this dataset on clinical trainee impairment. The data likely contains information related to psychology and medical education within American Psychological Association (APA) approved internship programs. The dataset is published on the paperswithcode platform under a closed license.
FHIR Patients Test Personas likely contains synthetic or test patient records structured according to the FHIR (Fast Healthcare Interoperability Resources) standard. The dataset was authored by mkieffer and published on HuggingFace, with a last recorded update on 2026-02-23 05:22:41. Its specific size, columns, and content are unknown.
Comprising survey data from an AARP poll examining attitudes and behaviors related to telehealth. It covers topics including telehealth service usage, comfort levels, preferences compared to in-person care, and healthcare insurance.
A collection of CT scan images focused on kidney anatomy or pathology. The dataset is hosted on Kaggle, but the exact number of images, their provenance, and the date of collection are unknown. Columns and detailed metadata are not provided.
Calderdale Metropolitan Borough Council provides data on Fixed Penalty Notices issued by its Environmental Health team. The dataset includes notice type and financial year information, with a supporting explanatory publication. Row count, column count, and specific temporal coverage are not detailed in the provided input.
Kaggle hosts a dataset of brain scans related to Alzheimer's disease. The dataset's title suggests it contains augmented medical imaging data, likely used for computer vision tasks in neurology. Specific details on the number of images, collection methodology, and source institution are not provided in the available metadata.
MIMIC3-Reconstructed-Classwise is a dataset derived from the MIMIC-III critical care database. The title suggests it contains clinical data reconstructed or aggregated on a per-class basis, likely for classification tasks. It is hosted on the Kaggle platform, but specific details about its creation, size, and structure are not provided in the metadata.
A Kaggle-hosted dataset of chest X-ray images likely related to pneumothorax detection. The dataset's specific size, collection method, and origin are not detailed in the provided metadata. Metadata is minimal; actual content requires verification after download.
LungCT-Diagnosis likely contains medical CT scan images sourced from The Cancer Imaging Archive (TCIA). The dataset appears to be mirrored and untampered, suggesting a focus on authenticity for diagnostic research. Its specific content, scale, and provenance require verification after download.
MIMIC-III is a large, publicly available critical care database. This dataset likely contains reconstructed physiological time-series data derived from the MIMIC-III database, which includes information from intensive care unit patients. The data is hosted on Kaggle, but specific details about its size, structure, and creation date are not provided.
Derives group sequential clinical trial designs and describes their properties. The methods focus on time-to-event, binary, and continuous outcomes. The work is largely based on methods described in Jennison and Turnbull's 2000 book 'Group Sequential Methods with Applications to Clinical Trials'.
1998 statistics from the Australian Institute of Health and Welfare estimate 23,313 drug-related deaths in Australia. The data, compiled by Training on Addiction, breaks down deaths by tobacco, risky alcohol use, and illicit drugs, with heroin overdose comprising the bulk of illicit drug fatalities.
An R package named 'clinfun' provides utilities for designing and analyzing clinical trials. It contains functions for study designs such as Simon 2-stage and group sequential designs, and for data analysis including the Jonckheere-Terpstra test and survival quantile estimation. The package was authored by Venkatraman Seshan and is listed on the paperswithcode platform.
Neglected disease research and development funding data addresses a critical information gap for global health investors. The dataset, authored by M. Susan Moran, likely tracks financial investments in pharmaceutical tools for diseases like HIV/AIDS, tuberculosis, leishmaniasis, and sleeping sickness. It supports analysis aligned with the United Nations Millennium Development Goals for improving health in the developing world.
A collection of coronary angiogram images featuring bifurcations before and after angioplasty intervention. The dataset includes associated Matlab code for image analysis and measurements of the bifurcations pre- and post-procedure. Row and column counts are not specified.
SPARK_2026_ChestXray is a dataset for a pneumonia classification challenge from chest X-ray images. The dataset's specific volume, creator, and temporal details are not provided in the input.
Healthcare data sourced from the Kaggle platform. The dataset's specific contents, scale, and origin are not detailed in the provided metadata. Users must download the data to verify its structure and suitability for their projects.
ESE Hospital Departamental Tomas Uribe Uribe de Tuluรก recorded consultations performed during 2019. The dataset includes 23 columns covering patient demographics, diagnoses, and administrative details. Data was published by www.datos.gov.co and last updated in December 2025.
Twenty-four quality measures across five domains (Preventive Care, Quality of Care, Quality of Life, Resident Safety, Resident Status) for New York State nursing homes. The data includes Domain Ratings and an Overall Rating on a 5-star scale, published by health.data.ny.gov and last updated in November 2025. Columns such as Measure Code, Rating, and Reporting Quarter track performance over time.
ECGDATAFINAL is a dataset of electrocardiogram signals, likely for analysis of heart activity. The dataset is hosted on Kaggle, but its specific size, source, and collection details are not provided in the metadata. Further details about the number of records, patient demographics, and recording conditions require verification after download.