Applicability of Artificial Intelligence in the field of clinical lipidology: a narrative review

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dc.creatorMasson, Walter
dc.creatorCorral, Pablo
dc.creatorNogueira, Juan Pablo
dc.creatorLavalle-Cobo, Augusto
dc.date2024
dc.date.accessioned2026-03-09T20:05:15Z
dc.date.available2026-03-09T20:05:15Z
dc.descriptionThe development of advanced technologies in artificial intelligence (AI) has expanded its applications across various fields. Machine learning (ML), a subcategory of AI, enables computers to recognize patterns within extensive datasets. Furthermore, deep learning, a specialized form of ML, processes inputs through neural network architectures inspired by biological processes. The field of clinical lipidology has experienced significant growth over the past few years, and recently, it has begun to intersect with AI. Consequently, the purpose of this narrative review is to examine the applications of AI in clinical lipidology. This review evaluates various publications concerning the diagnosis of familial hypercholesterolemia, estimation of low-density lipoprotein cholesterol (LDL-C) levels, prediction of lipid goal attainment, challenges associated with statin use, and the influence of cardiometabolic and dietary factors on the discordance between apolipoprotein B and LDL-C. Given the concerns surrounding AI techniques, such as ethical dilemmas, opacity, limited reproducibility, and methodological constraints, it is prudent to establish a framework that enables the medical community to accurately interpret and utilize these emerging technological tools.
dc.descriptionFil: Masson, Walter. Servicio de Cardiología, Hospital Italiano de Buenos Aires; Argentina.
dc.descriptionFil: Corral, Pablo. Universidad FASTA, Facultad de Ciencias Médicas; Argentina.
dc.descriptionFil: Nogueira, Juan Pablo. Centro de Investigación en Endocrinología, Nutrición y Metabolismo, Universidad Nacional de Formosa; Argentina. Universidad Internacional de las Américas; Costa Rica.
dc.descriptionFil: Lavalle-Cobo, Augusto. Department of Cardiology, Sanatorio Finochietto; Argentina.
dc.formatapplication/pdf
dc.identifier.citationMasson, W., Corral, P., Nogueira, J. P., & Lavalle-Cobo, A. (2024). Applicability of Artificial Intelligence in the Field of Clinical Lipidology: A Narrative Review. Journal of lipid and atherosclerosis, 13(2), 111–121. https://doi.org/10.12997/jla.2024.13.2.111
dc.identifier.issn2288-2561
dc.identifier.urihttps://dspace.ufasta.edu.ar/handle/123456789/87907
dc.languageeng
dc.publisherJournal of Lipid and Atherosclerosis
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licences/by-nc-nd/3.0/deed.es_AR
dc.sourceJournal of lipid and atherosclerosis, 13(2), 111–121.
dc.subjectInteligencia artificial
dc.subjectDislipidemias
dc.subjectLípidos
dc.subjectAprendizaje automático
dc.subjectDeep learning
dc.titleApplicability of Artificial Intelligence in the field of clinical lipidology: a narrative review
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/acceptedVersion

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