Artificial intelligence: its potential in personalized public health strategies and genetic data analysis: a narrative review

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dc.contributor.authorDemir, Gulcan
dc.contributor.authorYegin, Zeynep
dc.date.accessioned2026-04-25T14:20:08Z
dc.date.available2026-04-25T14:20:08Z
dc.date.issued2025
dc.departmentSinop Üniversitesi
dc.description.abstractThis review comprehensively evaluates personalized public health strategies using artificial intelligence (AI) in disease prediction/management and genetic data analysis. In the field of healthcare, AI has achieved significant advancements in the analysis of public health and genetic data. Its applications in public health include predicting the spread of infectious diseases, evaluating individual risk factors, and optimizing resource management. In the realm of genetic data, AI offers groundbreaking contributions such as identifying disease risk factors, analyzing genetic mutations, and developing personalized treatment plans. In this review, we evaluated the importance of AI in preventive medicine in a structured way and by including concrete application examples. Ethical and legal responsibilities must be considered due to the significant implications of AI-generated decisions. By integrating AI into public health and genetics, we are poised to unlock unprecedented opportunities for advancing human health. This approach not only enhances our ability to understand and address complex health challenges but also paves the way for equitable, effective, and individualized care solutions on a global scale. In this review, we addressed to the interactions between particular subdomains of personalized public health strategies and AI with most recent literature and legal/ethical perspective.
dc.identifier.doi10.1080/17410541.2025.2494501
dc.identifier.endpage179
dc.identifier.issn1741-0541
dc.identifier.issn1744-828X
dc.identifier.issue3
dc.identifier.orcid0000-0003-4639-399X
dc.identifier.pmid40259534
dc.identifier.scopus2-s2.0-105003099838
dc.identifier.scopusqualityQ2
dc.identifier.startpage171
dc.identifier.urihttps://doi.org/10.1080/17410541.2025.2494501
dc.identifier.urihttps://hdl.handle.net/11486/8391
dc.identifier.volume22
dc.identifier.wosWOS:001472338100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofPersonalized Medicine
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260420
dc.subjectArtificial intelligence
dc.subjectprecision medicine
dc.subjectgenetics
dc.subjectpublic health informatics
dc.subjectethical aspects
dc.titleArtificial intelligence: its potential in personalized public health strategies and genetic data analysis: a narrative review
dc.typeReview

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