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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,522 datasets
2016-2019 de-identified summary table of prevalence rates for vision and eye health indicators from Medicaid Analytic eXtract (MAX) data. Prevalence estimates are stratified by age group, gender, and state.
Chest X-Ray images are a fundamental diagnostic tool in radiology. This collection contains medical images used for identifying pathologies like pneumonia, tuberculosis, or lung nodules. The dataset's origin, size, and temporal coverage are unspecified.
Vindr_Physionet_384 is a collection of chest X-ray images and associated annotations for machine learning in medical imaging. The dataset's 384 images are likely sourced from the VinDr-CXR and PhysioNet platforms, providing a labeled resource for computer vision tasks. It was created for research purposes, though the specific authors and update date are not provided.
Chest X-ray images containing corrupted or faulty data, likely intended for testing the robustness of computer vision models. The dataset's name suggests a focus on fault tolerance, possibly using a k-fold cross-validation (kcv) structure. Details on the number of images, source, and creation date are unavailable.
IU-X-ray is a medical imaging dataset hosted on Kaggle. The platform tags suggest it contains X-ray images and may be multimodal. The dataset's specific content, size, and collection details are not provided in the available metadata.
SymptomChecker contains data for binary classification of diseases based on symptoms. The dataset is hosted on Kaggle and is intended for diagnostic modeling tasks.
25,000 synthetic examples designed to train models toward master-scholar capability in medical technology. The dataset covers imaging physics, biosignal analysis, biomedical devices, digital health privacy, genomics workflows, clinical trial methodology, and hospital operations, and includes a safety/refusal subset. It was created by WithinUsAI and last updated on January 3, 2026.
MedFit 1K contains health data for athletes. The dataset includes 1,000 records for analyzing fitness levels. Its author and update date are unknown.
Fundus images labeled for retinal disease classification tasks. The dataset originates from Kaggle and is associated with computer vision and deep learning workflows. Its size, specific disease categories, and creation details are not documented.
A dataset of rice leaf images intended for disease classification tasks. It was published on Kaggle and likely contains labeled images of healthy and diseased rice leaves. The specific source, collection method, and temporal coverage are not detailed in the provided metadata.
Health data recorded by the Samsung Health mobile application. The dataset likely contains time-series sensor readings and user-logged metrics from mobile devices. It is hosted on Kaggle, but specific details on volume, features, and collection period are not provided in the metadata.
lung-disease-ct-dataset.zip is a collection of medical images from Kaggle. The dataset likely contains CT scan images related to lung diseases. The specific number of images, collection method, and source institution are not detailed in the available metadata.
Chest X-ray images likely intended for developing and benchmarking medical image classification models. The dataset is hosted on Kaggle, a platform known for machine learning competitions and data science resources. Specific details on the number of images, collection source, and time period are not provided in the available metadata.
The full search strategies used to query four major academic databases (MEDLINE, PsycInfo, Embase, Scopus) for literature on avatar therapy in mental health. It includes the database downloads resulting from these searches. The author is Jill Boruff, and the dataset was last updated in February 2026.
Medical transcriptions in a cleaned, normalized, and JSONL-structured format. The dataset contains English-language clinical notes and text, tagged for healthcare and medical transcription applications. Specific details on row count, columns, and provenance are unavailable.
Hospital_data is a dataset hosted on the Kaggle platform. The dataset's specific contents, such as patient records, admissions, or operational metrics, are not detailed in the available metadata. Its scale, authorship, and temporal coverage require verification after download.
A dataset of skin disease images likely intended for training or evaluating a MobileViT-based computer vision model. The dataset is hosted on Kaggle and is categorized under Healthcare. Specific details on the number of images, collection method, and licensing are not provided in the available metadata.
MIMIC-III IHM is a dataset derived from the MIMIC-III critical care database. It is hosted on the Kaggle platform. The specific content and structure require verification after download due to minimal metadata.
A collection of chest X-ray images, likely sourced from the MIMIC critical care database. The dataset is hosted on Kaggle, but specific details on volume, collection dates, and contributing institutions are not provided in the available metadata. The title suggests it is part of the MIMIC ecosystem, which is known for providing de-identified clinical data for research.
The FDA's list of Drug Master Files, current through the fourth quarter of 2025. It was authored by Ben Graham and is hosted by Harvard Dataverse. The specific number of records, columns, and file size are not provided.