ReviewCurrent surgery reports2021
The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition.
Review in Current surgery reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06988501 (The Effect of Goal Setting With Mobile-based Self-management Tool on Improving Diet Quality of People With High Blood Pressure), which is not on this map. Cited by 46 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.
The Effect of Goal Setting With Mobile-based Self-management Tool on Improving Diet Quality of People With High Blood Pressure: a Randomized Controlled Trial
Who cites it
46 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review.The British journal of nutrition · 2025Pooled it
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review.Nutrients · 2024Pooled it
- AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.Annals of medicine · 2023Pooled it
- Applying Image-Based Food-Recognition Systems on Dietary Assessment: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Integrating gut‑brain axis insights into bundled nutrition care for critically ill patients: From mechanisms to implementation (Review).Molecular medicine reports · 2026Review
- Digital Solutions for the Control of Lifestyle Parameters in Individuals With High Cardiometabolic Risk: a Scoping Review.Current nutrition reports · 2026Article
- Artificial Intelligence in Parenteral Nutrition: Enhancing Patient Outcomes Through Global Experience and the Bulgarian Context.Nutrients · 2026Review
- The Impact of Diet on Long-Term Oncological Outcomes: Investigating Nutritional Mechanisms in Cancer Prevention Management and Prognosis.Nutrients · 2026Review
- Dietitians' views on the advantages and limitations of online dietary counselling for adults in Malaysia: a qualitative study.BMJ open · 2026Article
- Real-time and digital remote nutritional assessment framework with the use of smartphone-enabled facial morphometrics and machine learning- a proof of concept.European journal of clinical nutrition · 2026Observational
- Exploring the use, benefits, and challenges of nutrition applications among clinical nutrition specialists in Saudi Arabia.Frontiers in nutrition · 2026Article
- Childhood obesity in changing food systems: mediterranean diet, socioeconomic inequalities and AI-driven personalized nutrition - the case of Italy.Frontiers in public health · 2026Review
- AI-Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health.Molecular nutrition & food research · 2025Review
- Bridging Distance, Delivering Care: Pediatric Tele-Nutrition in the Digital Health Era-A Narrative Review.Healthcare (Basel, Switzerland) · 2025Review
- Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease.Journal of clinical medicine · 2025Article
- Artificial intelligence in biology and medicine.Die Naturwissenschaften · 2025Review
- Functional Ingredients: From Molecule to Market-AI-Enabled Design, Bioavailability, Consumer Impact, and Clinical Evidence.Foods (Basel, Switzerland) · 2025Review
- Energy and protein intake threshold modelling using nutrition dashboard technology and sensitivity of hospital malnutrition identification.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2025Observational
- Article
- Evaluating clinicians' attitudes toward a web-based tool to support culturally and medically tailored nutrition services at the point of care.JAMIA open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewComputing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition. RECENT
findingsMobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The combination of these tools has also translated into practical clinical applications, such as decision support tools, risk prediction, and diet optimization. SUMMARY: The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future.
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What OpenQuestion 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 OpenQuestion graph.