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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,175 datasets
5.5 KB of baseline clinical data for a correlation cohort of patients with hemoglobin and transferrin saturation measurements available at their first visit. The dataset was authored by Mari Kawamata and last updated on March 17, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Derek Ouyang's dataset provides percentages of patients categorized into concordant, discordant, and non-reporting groups. The categorization is based on patient age, sex, and tiers of the Social Vulnerability Index (SVI) and Rural-Urban Commuting Area (RUCA) codes derived from patient addresses. The data was last updated on March 17, 2026, and is shared under a CC-BY-4.0 license.
A model-based dataset comparing clinical outcomes and costs for percutaneous patent foramen ovale (PFO) closure versus medical management in cryptogenic stroke patients over a 30-year horizon. The dataset was authored by Chen Chen and last updated on March 17, 2026. It is a small Excel file (5.5 KB) licensed under CC-BY-4.0.
Curated dermoscopic skin lesion images for AI-based classification. The dataset is hosted on Kaggle, but the author, organization, and specific scale are unknown. The last update date is also unspecified.
Radboud University Medical Center provides training data for the CHIMERA Challenge, which aims to advance precision medicine in cancer care. The dataset integrates transcriptomics, pathology, and radiology data to address the complex challenge of multimodal data integration for AI. It is hosted on AWS Open Data and shared under a CC-BY-NC-SA-4.0 license.
A collection of medical images for classifying vision diseases. The dataset is hosted on Kaggle and focuses on eye disease classification. Specific details on the number of images, source, and collection period are not provided in the metadata.
A 5.5 KB Excel file containing patient demographics and baseline characteristics. The dataset was uploaded by Lina Alshadfan to figshare in March 2026. It relates to a retrospective descriptive study of pediatric lung abscess cases.
503,261 knee radiographs in DICOM format from 83,011 patients, with 40% of patients identified as African American. The dataset includes detailed clinical information such as patient-reported pain scores, diagnostic codes, and procedural codes, along with imaging metadata like laterality and view type. It is hosted on AWS Open Data and licensed under CC-BY-SA-4.0.
MR-RATE-atlas provides between 10,000 and 100,000 atlas-registered brain MRI volumes where imaging sequences are spatially normalized to a standard atlas-space. Developed by Forithmus as part of the MR-RATE vision-language foundation model project, it supports multimodal medical AI research. The data includes 3D medical imaging paired with language-based tasks such as visual question answering and radiology report generation.
Five years of institutional medical billing services data from the Texas Department of Insurance, Division of Workers’ Compensation. The dataset contains charges, payments, and treatments billed by hospitals and medical facilities for injured employees on CMS-1450 forms. It includes details to identify insurance carriers, employees, employers, place of service, and diagnostic information.
The Texas Department of Insurance maintains a database of professional medical billing services for workers' compensation claims. It contains charges, payments, and treatments billed on CMS-1500 forms by healthcare professionals treating injured employees, with dates of service for the last five years. The header information identifies carriers, employees, employers, place of service, and diagnoses, and must be joined with detail records using bill ID and selection date.
Texas Department of Insurance maintains a database of pharmacy medical billing services for workers' compensation claims. The header data identifies insurance carriers, injured employees, employers, place of service, and diagnostic information, grouping individual line items from the last five years.
Institutional medical billing services (SV2) header data from the Texas Department of Insurance details charges, payments, and treatments for injured employees. The dataset groups bill header information for hospitals and medical facilities, covering dates of service for the last five years.
A database of professional medical billing services for injured employees in Texas. It contains charges, payments, and treatments billed on CMS-1500 forms by healthcare professionals, with dates of service for the last five years. The data is maintained by the Texas Department of Insurance, Division of Workers' Compensation.
Synthetic data designed for building and testing healthcare triage data pipelines. The dataset is hosted on Kaggle, but its creator, size, and specific structure are not detailed. Its primary purpose is to simulate patient triage scenarios for engineering projects.
Pharmacy medical billing services data from the Texas Division of Workers' Compensation, covering charges, payments, and prescriptions billed on DWC Form-066. The dataset includes details to identify insurance carriers, injured employees, employers, place of service, and diagnostic information, with dates of service for the last five years. Individual line items can be grouped into single bills using the bill selection date and bill ID.
Medical data published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Users must download the data to verify its scope and quality.
A dataset of 104 countries constructed from reliable sources, where each row represents a country. It includes geographic, climate, healthcare, economic, and demographic factors hypothesized to influence COVID-19 spread, along with daily case, death, and test counts. The data was compiled by Sami Belkacem for a 2020 arXiv paper and was last updated on March 01, 2021.
BD-KDD contains 988 patient records for kidney disease diagnosis, featuring 26 clinical and laboratory variables. Developed by Md. Masudul Islam and hosted on Harvard Dataverse, the dataset provides binary classification labels for healthy and diseased states. It was specifically designed to double the sample size of the standard UCI Chronic Kidney Disease benchmark.
Chest X-Ray is a dataset of medical images hosted on Kaggle. The dataset's specific content, size, and provenance are not detailed in the available metadata. Its title suggests it likely contains radiological images of the chest cavity.