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AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond

AI-READI Consortium. Nat Metab. 2024 Dec.

Abstract

Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data generation project which aims to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.

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Conflict of interest statement

Competing interests: S.B.: funding — NIH, University of California Office of the President, Research to Prevent Blindness; consultant — Topcon; equipment — Optomed. V.R.d.S.: funding — NSF, UCSD Social Sciences, Sanford Institute for Empathy and Compassion (Center for Empathy and Technology), Intel, Mathworks, UCSD instructional improvement grant, equipment funding from Adobe and NVIDIA, Kavli Institute for Brain and Mind, IBM, past funding from Sony; member — Cognitive Science Society Governing Board. K.F.: member — Institutional Review Board for the All of Us Research Program, Digital Ethics Advisory Panel for Merck KGaA (Merck Germany). C.S.L.: funding — NIH, Alzheimer’s Disease Drug Discovery Foundation, Gates Ventures, Research to Prevent Blindness. T.Y.A.L.: funding — Research to Prevent Blindness, Dr. H. James and Carole Free Career Development Award. B.P.: funding — NIH. L.M.Z: funding — NEI, NIH, The Glaucoma Foundation, Heidelberg Engineering, DRCR Retina Network/JAEB Center for Health Research, The Krupp Foundation; receipt of equipment, materials, software — Optomed, ICare, Topcon, Heidelberg Engineering, Carl Zeiss Meditec, Optovue/Visionix; consultant — Abbvie, Topcon Medical Systems; co-founder, inventor, board member, equity holder — AISight Health Inc. S.H.: funding — NIH, NIH/NARCH, RWJF, UCSD Herbert Wertheim School of Public Health. H.I.: funding — NIH; founder, stock holder — Gobiquity, Inc. A.Y.L.: funding — Santen, Topcon, Carl Zeiss Meditec, Regeneron, Amazon, Meta, Research to Prevent Blindness; personal fees — Genentech, Sanofi, US FDA, Johnson and Johnson, Boehringer Ingelheim, Gyroscope; non-financial support — iCareWorld, Optomed, Heidelberg, Microsoft. S.M.: Funding — NIH, Edward P. Evans Foundation, OHSU Knight Cancer Institute; receipt of in-kind contribution — Nike. C.N.: funding — NIH, NSF, PCORI. C.O.: consultant — Johnson and Johnson. L.H.: funding — NIH Grant UL1TR001442; consultant — Bristol Myers Squibb. The remaining authors declare no competing interests.

Figures

Figure 1.
Figure 1.
Each participant that enrolls in the AI-READI study completes the study protocol that includes pre-visit questionnaires, on-site data collection, and post-visit data collection for 10 days using a Dexcom G6 for continuous glucose monitoring, Garmin Vivosmart 5 for physical activity monitoring, and a custom-built environmental sensor for environmental parameters measurements.

References

    1. Bridge to Artificial Intelligence (Bridge2AI). https://commonfund.nih.gov/bridge2ai.
    1. Wilkinson MD et al. Sci Data 3, 160018 (2016). - PMC - PubMed
    1. Contreras J. et al. doi:10.5281/zenodo.10642459. - DOI
    1. AI-READI Zenodo Community. Zenodo https://zenodo.org/communities/aireadi.
    1. AI-READI GitHub Organization. GitHub https://github.com/AI-READI.

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