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AIMI Dataset Index

A community-driven resource of health AI datasets for machine learning in healthcare


RSNA AI Challenge Collection

The Radiological Society of North America (RSNA) has curated an extensive collection of medical imaging datasets. These are designed to address a myriad of diagnostic challenges and encompass a diverse range of imaging modalities, including X-ray, CT, MRI, and mammography. Each dataset is released annually as part of RSNA's commitment to fostering AI research and development in the medical imaging domain. Datasets are housed in Kaggle and dataset description can be found on the RSNA AI Challenge webpage.

Data Source: Varies per dataset
Number of Sources: Multiple
Population #: Various
Population Unit: pediatric/adults
Population Representation: brain tumors, intercranial hemorrahge, chest pathologies, bone age, extremities breast cancer, abdominal trauma
Longitudinal Observations: No
Accessibility: Public/open
Permitted Uses: Non-commercial only
Fees: Free
Data Types: Medical Imaging
Funding Source: RSNA
Documentation url: View Documentation »
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