» Articles » PMID: 39516364

AI-READI: Rethinking AI Data Collection, Preparation and Sharing in Diabetes Research and Beyond

Overview
Journal Nat Metab
Publisher Springer Nature
Specialty Endocrinology
Date 2024 Nov 8
PMID 39516364
Affiliations
Soon will be listed here.
Citing Articles

Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI).

Owsley C, Matthies D, McGwin G, Edberg J, Baxter S, Zangwill L BMJ Open. 2025; 15(2):e097449.

PMID: 39915016 PMC: 11800295. DOI: 10.1136/bmjopen-2024-097449.

References
1.
Wilkinson M, Dumontier M, Aalbersberg I, Appleton G, Axton M, Baak A . The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016; 3:160018. PMC: 4792175. DOI: 10.1038/sdata.2016.18. View

2.
Lemieux-Charles L, McGuire W . What do we know about health care team effectiveness? A review of the literature. Med Care Res Rev. 2006; 63(3):263-300. DOI: 10.1177/1077558706287003. View

3.
Abramoff M, Tarver M, Loyo-Berrios N, Trujillo S, Char D, Obermeyer Z . Considerations for addressing bias in artificial intelligence for health equity. NPJ Digit Med. 2023; 6(1):170. PMC: 10497548. DOI: 10.1038/s41746-023-00913-9. View

4.
Patel B, Soundarajan S, Menager H, Hu Z . Making Biomedical Research Software FAIR: Actionable Step-by-step Guidelines with a User-support Tool. Sci Data. 2023; 10(1):557. PMC: 10447492. DOI: 10.1038/s41597-023-02463-x. View