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AIMI Dataset Index

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

 

Nightingale Open Science

Nightingale hosts massive new medical imaging datasets, curated around unsolved medical problems for which modern computational methods could be transformative. To do so, Nightingale works with health systems around the world to build datasets with two ingredients: large samples of medical images, linked to ground-truth patient outcomes. Deidentified versions of those datasets are then made available on a secure cloud platform to a diverse, global community of researchers.

Data Source: Varies per dataset
Number of Sources: Multiple
Population #: Various
Population Unit: adult patients
Population Representation: heart attack, cancer metastasis, cardiac arrest, bone aging, COVID-19
Longitudinal Observations: No
Accessibility: Apply for access
Permitted Uses: Non-commercial only
Fees: Yes, for larger instances of cpu.xsmall
Data Types: Medical Imaging
Funding Source: NIH, foundations
Documentation url: View Documentation »
Main url: Visit site »