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Documentation for the AI-READI Dataset

Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights

Generating Data to Boost Future AI-driven Research in Type 2 Diabetes

This is the documentation for the AI-READI dataset called "Flagship Dataset of Type 2 Diabetes from the AI-READI Project". AI-READI is one of the data generation project of the National Institutes of Health funded Bridge2AI Program. One of the major goals of AI-READI is to collect and share a multimodal, AI-ready dataset for studying salutogenesis in Type 2 Diabetes Mellitus.

Snapshot of the AI-READI dataset

Key numbers from the current version of the dataset (v2.0.0)

1067
Participants from three data collection sites
15
Data modalities collected
165,051
Total number of data files
2.01
TB dataset size