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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Veröffentlicht in:	Nature metabolism Jg. 6; H. 12; S. 2210 - 2212
Hauptverfasser:	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
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 01.12.2024 Nature Publishing Group
Schlagworte:	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-Zugang:	Volltext
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