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


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.

SUBMITTER: Johnson AE 

PROVIDER: S-EPMC8988237 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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

Johnson Amber E AE   Brewer LaPrincess C LC   Echols Melvin R MR   Mazimba Sula S   Shah Rashmee U RU   Breathett Khadijah K  

Heart failure clinics 20220304 2


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 ra  ...[more]

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