ArticleJMIR AI2023
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review.
Article in JMIR AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Addressing Health Disparities through Community Engagement in Artificial Intelligence-Driven Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2026Review
- Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance.BMC medical informatics and decision making · 2026Article
- Development and Evaluation of a Deep Learning Model for Ovarian Cancer Histotype Classification Using Whole-Slide Imaging.Journal of imaging · 2026Article
- AI/ML-based strategies for enhancing equity, diversity, and inclusion in randomized clinical trials.Trials · 2026Article
- [Application and progress of artificial intelligence agents in drug development].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Review
- Artificial intelligence in implementation research: a scoping review of applications and recommendations.Translational behavioral medicine · 2026Article
- Artificial intelligence and digital health equity: a post-pandemic evidence synthesis and implementation safeguards framework.Frontiers in digital health · 2026Review
- The AI Health Arms Race: A Critical Perspective on Big Tech and the Widening Global Health Equity Gap.Journal of multidisciplinary healthcare · 2026Article
- The Role of Data in Public Health and Health Innovation: Perspectives on Social Determinants of Health, Community-Based Data Approaches, and AI.Journal of medical Internet research · 2025Article
- Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project.Journal of participatory medicine · 2025Article
- Can AI Bridge or Widen Maternal Health Inequities?Public health challenges · 2025Article
- Review
- How multi-scale modeling can help examine social determinants of health and resulting disparities.PLoS computational biology · 2025Article
- The Health Equity Action Network Research Coordinating Center Facilitates Meaningful Community Engagement to Promote Health Equity.American journal of public health · 2025Article
- The role of artificial intelligence in sepsis in the Emergency Department: a narrative review.Annals of translational medicine · 2025Review
- Scientific Mapping of Global Research on Health Equity by 2023: A Bibliometric Study.Health science reports · 2025Article
- Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review.Frontiers in public health · 2025Review
- Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.Hypertension (Dallas, Tex. : 1979) · 2025Review
- 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 · 2025Article
- Performance of Machine Learning Suicide Risk Models in an American Indian Population.JAMA network open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmerging artificial intelligence (AI) applications have the potential to improve health, but they may also perpetuate or exacerbate inequities.
objectiveThis review aims to provide a comprehensive overview of the health equity issues related to the use of AI applications and identify strategies proposed to address them.
methodsWe searched PubMed, Web of Science, the IEEE (Institute of Electrical and Electronics Engineers) Xplore Digital Library, ProQuest U.S. Newsstream, Academic Search Complete, the Food and Drug Administration (FDA) website, and ClinicalTrials.gov to identify academic and gray literature related to AI and health equity that were published between 2014 and 2021 and additional literature related to AI and health equity during the COVID-19 pandemic from 2020 and 2021. Literature was eligible for inclusion in our review if it identified at least one equity issue and a corresponding strategy to address it. To organize and synthesize equity issues, we adopted a 4-step AI application framework: Background Context, Data Characteristics, Model Design, and Deployment. We then created a many-to-many mapping of the links between issues and strategies.
resultsIn 660 documents, we identified 18 equity issues and 15 strategies to address them. Equity issues related to Data Characteristics and Model Design were the most common. The most common strategies recommended to improve equity were improving the quantity and quality of data, evaluating the disparities introduced by an application, increasing model reporting and transparency, involving the broader community in AI application development, and improving governance.
conclusionsStakeholders should review our many-to-many mapping of equity issues and strategies when planning, developing, and implementing AI applications in health care so that they can make appropriate plans to ensure equity for populations affected by their products. AI application developers should consider adopting equity-focused checklists, and regulators such as the FDA should consider requiring them. Given that our review was limited to documents published online, developers may have unpublished knowledge of additional issues and strategies that we were unable to identify.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.