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