21-Oct-2026
The future of artificial intelligence-driven personalized nutrition in gastroenterology and hepatology: Emerging trends and perspectives
Xia & He Publishing Inc.
Nutrition is central to preventing and managing gastrointestinal (GI) and liver diseases, yet dietary advice remains generic. Conditions such as IBD, IBS, MASLD, celiac disease, and GERD are strongly diet‑influenced. Conventional personalized nutrition fails to account for metabolic, genetic, and microbiome variability. AI integrates genomics, microbiome, metabolic markers, and real‑time dietary tracking to generate individualized recommendations. AI tools are advancing dietary assessment, condition‑specific optimization, and continuous monitoring via wearables and natural language processing. Challenges remain: lack of standardized protocols, bias, privacy concerns, limited clinical validation, and underrepresentation of nutrition in AI applications. Opportunities include federated learning, real‑world validation, and regulatory frameworks. This narrative review synthesizes literature from 2015–2025.Nutrition is central to preventing and managing gastrointestinal (GI) and liver diseases, yet dietary advice remains generic. Conditions such as IBD, IBS, MASLD, celiac disease, and GERD are strongly diet‑influenced. Conventional personalized nutrition fails to account for metabolic, genetic, and microbiome variability. AI integrates genomics, microbiome, metabolic markers, and real‑time dietary tracking to generate individualized recommendations. AI tools are advancing dietary assessment, condition‑specific optimization, and continuous monitoring via wearables and natural language processing. Challenges remain: lack of standardized protocols, bias, privacy concerns, limited clinical validation, and underrepresentation of nutrition in AI applications. Opportunities include federated learning, real‑world validation, and regulatory frameworks. This narrative review synthesizes literature from 2015–2025.
- Journal
- Journal of Translational Gastroenterology