Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies

Peter Taber, Julie S. Armin, Gabriela Orozco, Guilherme Del Fiol, Jennifer Erdrich, Kensaku Kawamoto, Sonoo Thadaney Israni

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Purpose for Review: This perspective piece has two goals: first, to describe issues related to artificial intelligence-based applications for cancer control as they may impact health inequities or disparities; and second, to report on a review of systematic reviews and meta-analyses of artificial intelligence-based tools for cancer control to ascertain the extent to which discussions of justice, equity, diversity, inclusion, or health disparities manifest in syntheses of the field’s best evidence. Recent Findings: We found that, while a significant proportion of existing syntheses of research on AI-based tools in cancer control use formal bias assessment tools, the fairness or equitability of models is not yet systematically analyzable across studies. Issues related to real-world use of AI-based tools for cancer control, such as workflow considerations, measures of usability and acceptance, or tool architecture, are more visible in the literature, but still addressed only in a minority of reviews. Summary: Artificial intelligence is poised to bring significant benefits to a wide range of applications in cancer control, but more thorough and standardized evaluations and reporting of model fairness are required to build the evidence base for AI-based tool design for cancer and to ensure that these emerging technologies promote equitable healthcare.

Original languageEnglish (US)
Pages (from-to)387-424
Number of pages38
JournalCurrent oncology reports
Volume25
Issue number5
DOIs
StatePublished - May 2023
Externally publishedYes

Keywords

  • Artificial intelligence
  • Cancer
  • Diversity
  • Equity
  • Health disparities
  • Justice

ASJC Scopus subject areas

  • Oncology

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