Applicability of Artificial Intelligence in the Field of Clinical Lipidology: A Narrative Review

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dc.contributor.authorWalter Masson
dc.contributor.authorPablo Corral
dc.contributor.authorJuan P Nogueira
dc.contributor.authorAugusto Lavalle-Cobo
dc.date.accessioned2026-08-25T23:31:00Z
dc.date.available2026-08-25T23:31:00Z
dc.date.issued2023-12-19
dc.description.abstractArtificial intelligence (AI) has rapidly expanded its applications in medicine, including clinical lipidology. This narrative review examines the potential uses of AI, machine learning (ML), and deep learning (DL) in the diagnosis, prediction, and management of lipid disorders. Relevant studies were identified through searches of major scientific databases. Current applications include familial hypercholesterolemia detection, low-density lipoprotein cholesterol estimation, prediction of lipid goal attainment, identification of barriers to statin use, and assessment of lipid discordance. AI-based approaches show promising diagnostic and predictive performance. However, ethical concerns, transparency, reproducibility, methodological limitations, and population-specific applicability require further research and appropriate regulatory frameworks.
dc.description.sponsorshipArtificial intelligence; Machine learning; Deep learning; Clinical lipidology; Dyslipidemia.
dc.identifier.urihttp://repositorio.uia.ac.cr/handle/123456789/5135
dc.language.isoen
dc.titleApplicability of Artificial Intelligence in the Field of Clinical Lipidology: A Narrative Review
dc.typeArticle
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