ReviewNutrients2025
Investigation and Assessment of AI's Role in Nutrition-An Updated Narrative Review of the Evidence.
Review in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Implementation and Applications of Artificial Intelligence in Nutrition: A Systematic Review of Use in Practice and Research.Nutrients · 2026Pooled it
- Generative AI in Precision Nutrition: A Review of Current Developments and Future Directions.Nutrients · 2026Pooled it
- Pooled it
- Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.The British journal of nutrition · 2025Pooled it
- Use of Artificial Intelligence in obtaining canine diets: nutritional inadequacy and the need for technical knowledge.Veterinary and animal science · 2026Article
- Domain-Dependent Performance of Human Experts and AI Systems in Pediatric Menu Evaluation.Nutrients · 2026Observational
- Perception-Adoption Gap of an AI Dietary Management App in Real-World Dining Settings: A Field Study.Nutrients · 2026Observational
- Artificial Intelligence in Food-Nutrition-Health Research: From Multimodal Data Integration to Precision Intervention.Journal of food science · 2026Review
- Event-Driven Multimodal Sensing and Computing for Context-Aware Home Monitoring Using Stereo Vision and Dietary Event Anchoring.Sensors (Basel, Switzerland) · 2026Article
- [Transformation of Epidemiology in the Age of Artificial Intelligence].Revista medica del Instituto Mexicano del Seguro Social · 2026Article
- Digital and Technology-Enabled Approaches in Dietary Assessment: Addressing Bias, Error, and Feasibility in Population- and Community-Based Research.Advances in nutrition (Bethesda, Md.) · 2026Review
- Navigating the AI era in dietetics: a qualitative analysis of professional identity, ethical concerns, and future projections in Türkiye.BMC health services research · 2026Article
- Review
- Ultra-processed foods and cardiometabolic risk: from evidence to policy.npj metabolic health and disease · 2026Article
- The rise of nutrigenomic retreats: Integrating culinary education, wellness, and personalized nutrition in the era of genomic health.Asia Pacific journal of clinical nutrition · 2026Review
- Artificial intelligence in head and neck cancer rehabilitation services: current state and future perspectives.Current opinion in otolaryngology & head and neck surgery · 2026Review
- Attitudes toward artificial intelligence tools in university students: associations with body appreciation and e-healthy diet literacy - implications for digital health education.BMC medical education · 2026Article
- Advances and opportunities in measuring dietary intake: from omics to AI.Nature metabolism · 2026Review
- Advances in Nanoparticle-Based Vitamin Delivery Systems for Precision Nutrition and Improved Bioavailability.AAPS PharmSciTech · 2026Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardiovascular diseases, diabetes, cancer, and obesity. This review aims to investigate and assess the different applications and roles of AI in nutrition and research and understand its potential future impact.
methodsWe used PubMed, Scopus, Web of Science, Google Scholar, and EBSCO databases for our search.
resultsOur findings indicate that AI is reshaping the field of nutrition in ways that were previously unimaginable. By enhancing how we assess diets, customize nutrition plans, and manage complex health conditions, AI has become an essential tool. Technologies like machine learning models, wearable devices, and chatbot applications are revolutionizing the accuracy of dietary tracking, making it easier than ever to provide tailored solutions for individuals and communities. These innovations are proving invaluable in combating diet-related illnesses and encouraging healthier eating habits. One breakthrough has been in dietary assessment, where AI has significantly reduced errors that are common in traditional methods. Tools that use visual recognition, deep learning, and mobile applications have made it possible to analyze the nutrient content of meals with incredible precision.
conclusionsMoving forward, collaboration between tech developers, healthcare professionals, policymakers, and researchers will be essential. By focusing on high-quality data, addressing ethical challenges, and keeping user needs at the forefront, AI can truly revolutionize nutrition science. The potential is enormous. AI is set to make healthcare not only more effective and personalized but also more equitable and accessible for everyone.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.