Digital Health, AI-Driven Meal Apps, and Diet Quality in the General Public

Background: Smartphones, wearable devices and artificial-intelligence (AI) systems are changing how people recordmeals, estimate nutrients, plan menus and receive dietary advice. These tools may make nutrition support moreaccessible, but their influence on overall diet quality depends on more than calorie counting or technical sophistication.Objective: To examine how digital health and AI-driven meal applications may affect dietary behaviours and diet qualityin the general public, and to assess the evidence on effectiveness, measurement validity, safety, equity andimplementation.Methods: This narrative evidence review draws on WHO healthy-diet guidance and peer-reviewed systematic reviews,meta-analyses and validation studies identified through PubMed/PMC and journal sources. Priority was given tosystematic reviews, randomized-trial syntheses and independent validation research. Evidence was interpretedcautiously where study populations or technologies differed from the general public.Findings: Digital interventions can produce modest improvements in selected dietary behaviours. An umbrella review of47 meta-analyses covering 507 randomized trials and 206,873 participants reported, among other outcomes, anaverage increase of 0.57 servings/day in fruit and vegetable intake and a reduction of about 102.9 kcal/day in energyintake across pooled digital lifestyle interventions; these estimates are not specific to AI meal apps. A 2025 systematicreview of AI-based dietary intake assessment found only 13 eligible studies, with 61.5% conducted in preclinical settingsand moderate risk of bias in 61.5%. Thus, promise is clearer than definitive population-level proof.Conclusion: Digital meal apps are best viewed as supportive tools, not authoritative nutrition judges. Their public-healthvalue depends on accurate food databases, culturally inclusive recommendations, privacy protection, accessible design,transparent uncertainty and integration with qualified nutrition professionals.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23694174
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Digital Health, AI-Driven Meal Apps, and Diet Quality in the General Public

Maninder Kaur, Nazrana Perween, Yryshaev erzamat, deputy head of department, lecturer at osh state University, Harshvardhan Rathor et al.
1 links
Zenodo (CERN European Organization for Nuclear Research)
Mobile Health and mHealth Applications
article

Digital Health, AI-Driven Meal Apps, and Diet Quality in the General Public

Maninder Kaur, Nazrana Perween, Yryshaev erzamat, deputy head of department, lecturer at osh state University, Harshvardhan Rathor, Yasra raza
article en

Abstract

Background: Smartphones, wearable devices and artificial-intelligence (AI) systems are changing how people recordmeals, estimate nutrients, plan menus and receive dietary advice. These tools may make nutrition support moreaccessible, but their influence on overall diet quality depends on more than calorie counting or technical sophistication.Objective: To examine how digital health and AI-driven meal applications may affect dietary behaviours and diet qualityin the general public, and to assess the evidence on effectiveness, measurement validity, safety, equity andimplementation.Methods: This narrative evidence review draws on WHO healthy-diet guidance and peer-reviewed systematic reviews,meta-analyses and validation studies identified through PubMed/PMC and journal sources. Priority was given tosystematic reviews, randomized-trial syntheses and independent validation research. Evidence was interpretedcautiously where study populations or technologies differed from the general public.Findings: Digital interventions can produce modest improvements in selected dietary behaviours. An umbrella review of47 meta-analyses covering 507 randomized trials and 206,873 participants reported, among other outcomes, anaverage increase of 0.57 servings/day in fruit and vegetable intake and a reduction of about 102.9 kcal/day in energyintake across pooled digital lifestyle interventions; these estimates are not specific to AI meal apps. A 2025 systematicreview of AI-based dietary intake assessment found only 13 eligible studies, with 61.5% conducted in preclinical settingsand moderate risk of bias in 61.5%. Thus, promise is clearer than definitive population-level proof.Conclusion: Digital meal apps are best viewed as supportive tools, not authoritative nutrition judges. Their public-healthvalue depends on accurate food databases, culturally inclusive recommendations, privacy protection, accessible design,transparent uncertainty and integration with qualified nutrition professionals.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being, Zero hunger
Openalex Percentile: Top 8%
Mobile Health and mHealth Applications
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