AI-READI Methods and Approach

The design and protocol for the Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) has just been published in the journal BMJ Open. This project is generating the largest publicly accessible multidomain data set currently available to advance AI-based research into type 2 diabetes mellitus. The study design is focused on creating ethical and equitable data collection and management practices, and prioritizes data sharing with adherence to the Findable, Accessible, Interoperable, Reusable (FAIR) principles.

Read more about this important project at AI-READI website and in our previous post below.

Owsley C, Matthies DS, McGwin G, et alCross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI)BMJ Open 2025;15:e097449. doi: 10.1136/bmjopen-2024-097449