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Review
. 2022 Apr;18(2):259-273.
doi: 10.1016/j.hfc.2021.11.001. Epub 2022 Mar 4.

Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure

Amber E Johnson  1 , LaPrincess C Brewer  2 , Melvin R Echols  3 , Sula Mazimba  4 , Rashmee U Shah  5 , Khadijah Breathett  6
Affiliations
Review

Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure

Amber E Johnson et al. Heart Fail Clin. 2022 Apr.

Abstract

Patients with heart failure (HF) are heterogeneous with various intrapersonal and interpersonal characteristics contributing to clinical outcomes. Bias, structural racism, and social determinants of health have been implicated in unequal treatment of patients with HF. Through several methodologies, artificial intelligence (AI) can provide models in HF prediction, prognostication, and provision of care, which may help prevent unequal outcomes. This review highlights AI as a strategy to address racial inequalities in HF; discusses key AI definitions within a health equity context; describes the current uses of AI in HF, strengths and harms in using AI; and offers recommendations for future directions.

Keywords: Artificial intelligence; Guideline-directed therapy; Health equity; Health services research; Machine learning; Racial disparities; Risk prediction.

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Conflict of interest statement

Conflict of Interest Disclosures: None reported

Figures

Figure 1.
Figure 1.. Current Artificial Intelligence Use and Future Directions (Central Illustration).
Artificial intelligence (AI) can predict differential heart failure (HF) outcomes. Future directions will lead to underlying pathophysiological mechanisms, developing novel equitable therapies, and improving the performance of new clinical approaches. By incorporating intentional ethical principles into data science, the field is expected to address known biases and structural racism, diversify data sources, diversify the workforce, and prioritize opportunities that promote equity.
See this image and copyright information in PMC

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