Artificial Intelligence-Based Diets: A Role in the Nutritional Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease?

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dc.authorid0000-0002-0139-676X
dc.authorid0000-0002-4761-6836
dc.authorid0000-0003-4518-5283
dc.contributor.authorKarahan, Tugce Ozlu
dc.contributor.authorKenger, Emre Batuhan
dc.contributor.authorYilmaz, Yusuf
dc.date.accessioned2026-04-04T18:55:53Z
dc.date.available2026-04-04T18:55:53Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractBackground: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern. Effective management of this condition relies heavily on lifestyle modifications and dietary interventions. In this study, we sought to evaluate the dietary plans for MASLD generated by ChatGPT (GPT-4o) according to current guideline recommendations. Methods: ChatGPT was used to create single-day meal plans for 48 simulated patients with MASLD, tailored to individual characteristics such as age, gender, height, weight and transient elastography parameters. The plans were assessed for appropriateness according to disease-specific guidelines. Results: The mean energy content of the menus planned by ChatGPT was 1596.9 +/- 141.5 kcal with a mean accuracy of 91.3 +/- 11.0%, and fibre content was 22.0 +/- 0.6 g with a mean accuracy of 88.1 +/- 2.5%. However, they exhibited elevated levels of protein, fat and saturated fat acids. Conversely, the carbohydrate content was lower. ChatGPT recommended weight loss for obese patients but did not extend this advice to normal-weight and overweight individuals. Notably, recommendations for a Mediterranean diet and physical activity were absent. Conclusions: ChatGPT shows potential in developing dietary plans for MASLD management. However, discrepancies in macronutrient distributions and the omission of key evidence-based recommendations highlight the need for further refinement. To enhance the effectiveness of AI tools in dietary recommendations, alignment with established guidelines must be improved.
dc.description.sponsorshipThe authors received no specific funding for this work.
dc.description.sponsorshipThe authors have nothing to report.
dc.identifier.doi10.1111/jhn.70033
dc.identifier.doi10.1111/jhn.70033
dc.identifier.issn0952-3871
dc.identifier.issn1365-277X
dc.identifier.issue2
dc.identifier.pmid40013348
dc.identifier.scopus2-s2.0-85218931699
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1111/jhn.70033
dc.identifier.urihttps://hdl.handle.net/11411/10602
dc.identifier.volume38
dc.identifier.wosWOS:001433635900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofJournal of Human Nutrition and Dietetics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectArtificial Intelligence
dc.subjectChatgpt
dc.subjectGuideline Recommendations
dc.subjectMetabolic Dysfunction-Associated Steatotic Liver Disease
dc.subjectNutritional Therapy
dc.titleArtificial Intelligence-Based Diets: A Role in the Nutritional Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease?
dc.typeArticle

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