This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (484) Equity and Digital Divide (174) Artificial Intelligence (1198) Diabetes Self-Management (463) Digital Health Reviews (1186)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22320, first published .
The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations

The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations

The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations

Authors of this article:

Quynh Pham1, 2 Author Orcid Image ;   Anissa Gamble1 Author Orcid Image ;   Jason Hearn1, 3 Author Orcid Image ;   Joseph A Cafazzo1, 2, 4 Author Orcid Image
Article Authors Cited by (18) Tweetations (19) Metrics

Journals

  1. Lillywhite B, Wolbring G. Emergency and Disaster Management, Preparedness, and Planning (EDMPP) and the ‘Social’: A Scoping Review. Sustainability 2022;14(20):13519 View
  2. Gurevich E, El Hassan B, El Morr C. Equity within AI systems: What can health leaders expect?. Healthcare Management Forum 2023;36(2):119 View
  3. Singla R, Aggarwal S, Bindra J, Garg A, Singla A. Developing clinical decision support system using machine learning methods for type 2 diabetes drug management. Indian Journal of Endocrinology and Metabolism 2022;26(1):44 View
  4. Gautier T, Ziegler L, Gerber M, Campos-Náñez E, Patek S. Artificial intelligence and diabetes technology: A review. Metabolism 2021;124:154872 View
  5. Lillywhite B, Wolbring G. Auditing the impact of artificial intelligence on the ability to have a good life: using well-being measures as a tool to investigate the views of undergraduate STEM students. AI & SOCIETY 2024;39(3):1427 View
  6. Lin L, Liu K, Feng H, Li J, Chen H, Zhang T, Xue B, Si J. Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying. Mathematical Biosciences and Engineering 2022;19(10):10096 View
  7. Abbasgholizadeh Rahimi S, Légaré F, Sharma G, Archambault P, Zomahoun H, Chandavong S, Rheault N, T Wong S, Langlois L, Couturier Y, Salmeron J, Gagnon M, Légaré J. Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal. Journal of Medical Internet Research 2021;23(9):e29839 View
  8. Yousefi Nooraie R, Lyons P, Baumann A, Saboury B. Equitable Implementation of Artificial Intelligence in Medical Imaging: What Can be Learned from Implementation Science?. PET Clinics 2021;16(4):643 View
  9. Davis M, Lim N, Jordan J, Yee J, Gichoya J, Lee R. Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI. American Journal of Roentgenology 2023;221(3):302 View
  10. Gill S, Wolbring G. Auditing the ‘Social’ Using Conventions, Declarations, and Goal Setting Documents: A Scoping Review. Societies 2022;12(6):147 View
  11. Kim C, Samaniego C, Sousa Melo S, Brachvogel W, Baskaran K, Rulli D. Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration. Journal of Dental Education 2023;87(11):1570 View
  12. Allareddy V, Oubaidin M, Rampa S, Venugopalan S, Elnagar M, Yadav S, Lee M. Call for algorithmic fairness to mitigate amplification of racial biases in artificial intelligence models used in orthodontics and craniofacial health. Orthodontics & Craniofacial Research 2023;26(S1):124 View
  13. Busch F, Keller S, Rueger C, Kader A, Ziegeler K, Bressem K, Adams L. Mapping gender and geographic diversity in artificial intelligence research: Editor representation in leading computer science journals. Acta Radiologica Open 2023;12(10) View
  14. Lee M, Allareddy V, Rampa S, Elnagar M, Oubaidin M, Yadav S, Rengasamy Venugopalan S. Applications and challenges of implementing artificial intelligence in orthodontics: A primer for orthodontists. Seminars in Orthodontics 2024;30(1):72 View
  15. Quistberg D. Potential of artificial intelligence in injury prevention research and practice. Injury Prevention 2024;30(2):89 View
  16. Murphy A, Bowen K, Naqa I, Yoga B, Green B. Bridging Health Disparities in the Data-Driven World of Artificial Intelligence: A Narrative Review. Journal of Racial and Ethnic Health Disparities 2024 View

Books/Policy Documents

  1. Korngiebel D, Solomonides A, Goodman K. Intelligent Systems in Medicine and Health. View
  2. Rao A, Hossain M. Leveraging AI and Emotional Intelligence in Contemporary Business Organizations. View