Artificial intelligence applications across the spectrum of malnutrition: From undernutrition to obesity

Basit Öğe Kaydı
dc.authorid0000-0002-3644-5066
dc.authorid0009-0009-8746-4097
dc.authorid0000-0001-5381-4022
dc.contributor.authorGünalan, Elif
dc.contributor.authorTartıcı, Gülser
dc.contributor.authorAladağ, Esra
dc.contributor.authorÇonak, Özge
dc.date.accessioned2026-05-04T16:27:08Z
dc.date.available2026-05-04T16:27:08Z
dc.date.issued2026
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Beslenme ve Diyetetik Programı
dc.description.abstractBackground: Malnutrition is a significant global public health challenge, with rising prevalence and vital consequences. Recent advances in artificial intelligence (AI) have transformed approaches to understanding, monitoring, and managing these conditions. In this context, a multidimensional approach, integrating digital anthropometry and precision nutrition with image processing and AI-based mobile applications, has progressed in the field. Objectives: This study provides a comprehensive bibliometric and critical analysis of AI applications in malnutrition, including undernutrition and obesity. Methods: Using RStudio software (version 4.1.3) and the bibliometrix R package, 716 publications were identified in the Scopus database, of which 191 original research articles were analyzed. This context focuses on subfields such as digital anthropometry, precision nutrition, image processing technologies, and AI-supported mobile applications. Results: The findings highlight AI as a rapidly growing and interdisciplinary field of research. Engineering journals frequently publish cutting-edge studies, with the United States, China, Spain, and Korea leading in productivity and citations. Although diet, nutrition, and diabetes themes dominate the literature, undernutrition and obesity remain underrepresented. Conclusions: This study emphasizes the importance of transitioning the current fragmented research landscape into a standardized and ethically governed framework for the sustainable development of AI in nutrition. By bridging identified thematic imbalances and prioritizing scalable digital tools, AI can be repositioned as a strategic pillar of public health, rather than just a clinical instrument. Such a shift is essential for effectively addressing the global double burden of malnutrition and ensuring long-term, sustainable progress in the field.
dc.identifier.citationGünalan, E., Tartıcı, G., Aladağ, E., & Çonak, Ö. (2026). Artificial intelligence applications across the spectrum of malnutrition: From undernutrition to obesity. The Journal of Nutrition, https://doi.org/10.1016/j.tjnut.2026.101454
dc.identifier.doi10.1016/j.tjnut.2026.101454
dc.identifier.issn1541-6100
dc.identifier.issn0022-3166
dc.identifier.pmidPMID: 42049175
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.tjnut.2026.101454
dc.identifier.urihttps://hdl.handle.net/20.500.13055/1466
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.otherSCI-E - Science Citation Index Expanded
dc.institutionauthorGünalan, Elif
dc.institutionauthorTartıcı, Gülser
dc.institutionauthorAladağ, Esra
dc.institutionauthorid0000-0002-3644-5066
dc.institutionauthorid0009-0009-8746-4097
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofThe Journal of Nutrition
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Intelligence
dc.subjectBibliometrics
dc.subjectDeep Learning
dc.subjectMalnutrition
dc.subjectObesity
dc.titleArtificial intelligence applications across the spectrum of malnutrition: From undernutrition to obesity
dc.typeArticle
dspace.entity.typePublication

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Kapalı Erişim
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Beslenme ve Diyetetik Bölümü Koleksiyonu
Lisansüstü Eğitim Enstitüsü Diğer Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu