Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review

University of Bradford

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such systems can substantially improve the provision of care, diverse and marginalized populations are often incorrectly or insufficiently represented within these systems. This review aims to assess the influence of AI on health and social care among these populations, particularly with regard to issues related to inclusivity and regulatory concerns.

Methods

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Six leading databases were searched, and 129 articles were selected for this review in line with predefined eligibility criteria.

Citation impact

67
total citations
FWCI
31.90
Percentile
100%
References
135
Citations per year

Authors

3

Topics & keywords

Keywords
  • Equity (law)
  • Health care
  • Inclusion (mineral)
  • Health equity
  • Systematic review
  • Health informatics
  • Public relations
  • MEDLINE
UN Sustainable Development Goals
  • Reduced inequalities
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