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

Reviews in AI (18) Artificial Intelligence (1960) Applications of AI (230) Ethical, Legal, and Social Issues in AI (89)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42936, first published .
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Authors of this article:

Carl Thomas Berdahl1, 2, 3 Author Orcid Image ;   Lawrence Baker1 Author Orcid Image ;   Sean Mann1 Author Orcid Image ;   Osonde Osoba1 Author Orcid Image ;   Federico Girosi1 Author Orcid Image
Article Authors Cited by (30) Tweetations (3) Metrics

Journals

  1. Valiña L, Buedo P, Daly T. Socrates in the Machine: The “House Ethicist” in AI for Healthcare. Journal of Radiology Nursing 2023;42(4):493 View
  2. Jennings A, Cox D. Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis. Behavior Analysis in Practice 2024;17(1):107 View
  3. Hendricks-Sturrup R, Simmons M, Anders S, Aneni K, Wright Clayton E, Coco J, Collins B, Heitman E, Hussain S, Joshi K, Lemieux J, Lovett Novak L, Rubin D, Shanker A, Washington T, Waters G, Webb Harris J, Yin R, Wagner T, Yin Z, Malin B. Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach. JMIR AI 2023;2:e52888 View
  4. Nadarzynski T, Knights N, Husbands D, Graham C, Llewellyn C, Buchanan T, Montgomery I, Ridge D, Silva J. Achieving health equity through conversational AI: A roadmap for design and implementation of inclusive chatbots in healthcare. PLOS Digital Health 2024;3(5):e0000492 View
  5. Lacsa J. Is internet access really the key to achieving AI-driven health equity in the Philippines, or should we focus on direct healthcare investments instead?. Journal of Public Health 2024;46(4):e760 View
  6. Liebrenz M, Bhugra D, Alibudbud R, Ventriglio A, Smith A. AI in health care and the fragile pursuit of equity and social justice. The Lancet 2024;404(10455):843 View
  7. Anawati A, Fleming H, Mertz M, Bertrand J, Dumond J, Myles S, Leblanc J, Ross B, Lamoureux D, Patel D, Carrier R, Cameron E, Kuo P. Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review. PLOS Digital Health 2024;3(9):e0000597 View
  8. Haroz E, Rebman P, Goklish N, Garcia M, Suttle R, Maggio D, Clattenburg E, Mega J, Adams R. Performance of Machine Learning Suicide Risk Models in an American Indian Population. JAMA Network Open 2024;7(10):e2439269 View
  9. Guleria S, Guptill J, Kumar I, McClintic M, Rojas J. Artificial intelligence integration in healthcare: perspectives and trends in a survey of U.S. health system leaders. BMC Digital Health 2024;2(1) View
  10. Haddiya I, Ramdani S, Zeroual A, Vanderhaegen F. Artificial intelligence in healthcare: A focus on the best practices. ITM Web of Conferences 2024;69:02010 View
  11. Shimbo D, Shah R, Abdalla M, Agarwal R, Ahmad F, Anaya G, Attia Z, Bull S, Chang A, Commodore-Mensah Y, Ferdinand K, Kawamoto K, Khera R, Leopold J, Luo J, Makhni S, Mortazavi B, Oh Y, Savage L, Spatz E, Stergiou G, Turakhia M, Whelton P, Yancy C, Iturriaga E. Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report. Hypertension 2025;82(1):36 View
  12. Sarikhani Y, Kalavani A, Najibi S. Scientific Mapping of Global Research on Health Equity by 2023: A Bibliometric Study. Health Science Reports 2025;8(2) View
  13. Hamzyan Olia J, Raman A, Hsu C, Alkhayyat A, Nourazarian A. A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry. Computers in Biology and Medicine 2025;189:109984 View
  14. Ghanem S, Moraleja M, Gravesande D, Rooney J. Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review. Frontiers in Public Health 2025;13 View
  15. Rice B, Rasmus S, Onders R, Thomas T, Day G, Wood J, Britton C, Hernandez-Boussard T, Hiratsuka V. Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System. Frontiers in Artificial Intelligence 2025;8 View
  16. Karnik A, Yang E. Artificial Intelligence to Improve Blood Pressure Control: A State-of-the-Art Review. American Journal of Hypertension 2025;38(8):519 View
  17. Adams J. Ethical and epistemic implications of artificial intelligence in medicine: a stakeholder-based assessment. AI & SOCIETY 2025 View
  18. Pardo E, Joseph G, Rojo E, Beyene S, Taylor K, Charlebois E, Gansky S, Rhoads K. The Health Equity Action Network Research Coordinating Center Facilitates Meaningful Community Engagement to Promote Health Equity. American Journal of Public Health 2025;115(S2):S98 View
  19. Lockwood A, Brown J. Mitigating AI Bias in School Psychology: Toward Equitable and Ethical Implementation. School Psychology Review 2025:1 View
  20. Yoshida K, Pienaar E, Bynum S, Chesler N, Colebank M, Heneghan J, Tyus N, Miller-Kleinhenz J, Lee B, Mac Gabhann F. How multi-scale modeling can help examine social determinants of health and resulting disparities. PLOS Computational Biology 2025;21(7):e1013284 View
  21. Ou J, Holve E. Advancing methodological development of artificial intelligence in patient-centered comparative clinical effectiveness research: Patient-Centered Outcomes Research Institute’s unique contribution to research done differently. JAMIA Open 2025;8(4) View
  22. Abejirinde I, Itanyi I, Kornas K, Zaim R, Guha S, Chui V, Lipscombe L, Rosella L, Shaw J. Principles and Practices of Community Engagement in Artificial Intelligence for Population Health: Insights from the AI for Diabetes Prediction and Prevention Project (Preprint). Journal of Participatory Medicine 2024 View
  23. Gollins L, Phillips W, Becker P, Bellini S, Vega M. Applying the Malnutrition Care Score Framework to Pediatric Populations: Implications for Enhancing Health Equity. Journal of the Academy of Nutrition and Dietetics 2025;125(9):S10 View
  24. Saadeh M, Janhonen J, Beer E, Castelyn C, Hoffman D. Automation complacency: risks of abdicating medical decision making. AI and Ethics 2025 View

Books/Policy Documents

  1. Diserens P, Alafaireet P. Service Design, Creativity, and Innovation in Healthcare. View
  2. Linde S, Walker R, Campbell J, Egede L. Structural Inequalities and Health Outcomes for Chronic Disease. View
  3. Babulak E, Kumar A, Guru D, Kudithipudi K, Maddini S, Gonaygunta H, Nadella S. AI-Driven Approaches for Fully Automated Smart Engineering. View
  4. Arshed M, Kazi A, Kiran M, Ali S. Innovation and Transformation of Public Health. View

Conference Proceedings

  1. Amirian S, Carlson L, Gong M, Lohse I, Weiss K, Plate J, Tafti A. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects View
  2. Lakshmi A, Vijayaraj A, Sruthi Shree C, Kumar R S, V S, S T. 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). Artificial Intelligence Enhanced Virtual Reality Surgery Training View