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

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

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Bibliographic Details
Published in:Nature metabolism Vol. 6; no. 12; pp. 2210 - 2212
Main Authors: Baxter, Sally L., de Sa, Virginia R., Ferryman, Kadija, Jain, Prachee, Lee, Cecilia S., Li-Pook-Than, Jennifer, Liu, T. Y. Alvin, Owen, Julia P., Patel, Bhavesh, Yu, Qilu, Zangwill, Linda M., Bahmani, Amir, Chute, Christopher G., Edberg, Jeffrey C., Hurst, Samantha, Ishikawa, Hiroshi, Lee, Aaron Y., McGwin, Gerald, McWeeney, Shannon, Nebeker, Camille, Owsley, Cynthia, Singer, Sara J., Adib, Riddhiman, Adibuzzaman, Mohammad, Alavi, Arash, Ashley, Catherine, Baer, Adrienne, Benton, Erik, Blazes, Marian, Cohen, Aaron, Cordier, Benjamin, Crist, Katie, Cuddy, Colleen, Gasimova, Aydan, Gim, Nayoon, Hong, Stephanie, Kim, Trina, Lin, Wei-Chun, Mitchell, Jessica, Ngadisastra, Caitlyn, Patronilo, Victoria, Shaffer, Jamie, Soundarajan, Sanjay, Zhao, Kevin, Drolet, Caroline, Lucero, Abigail, Matthies, Dawn, Pittock, Hanna, Watkins, Kate, York, Brittany, Amankwa, Charles E., Bangudi, Monique, Haboudal, Nada, Hallaj, Shahin, Heinke, Anna, Huang, Lingling, Kalaw, Fritz Gerald P., Karsolia, Apoorva, Khazaei, Hadi, Mohammed, Muna, Simpkins, Kyongmi, Wang, Xujing
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01.12.2024
Nature Publishing Group
Subjects:
692/699/2743/137/773
706/648/697/129
Artificial intelligence
Biomedical and Life Sciences
Biomedical research
Comment
Data collection
Datasets
Diabetes
Diabetes mellitus (non-insulin dependent)
Ethics
Life Sciences
Multiculturalism & pluralism
Pathogenesis
Questionnaires
Tomography
Workforce
Germany
ISSN:2522-5812, 2522-5812
Online Access:Get full text
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Description
Summary:Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.
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ISSN:2522-5812
2522-5812
DOI:10.1038/s42255-024-01165-x