Artificial Intelligence Interventions Targeting Obesity‐Related Behaviors: Protocol for a Scoping Review

The objective of this scoping review is to examine the nature, extent, and impact of AI-supported interventions that include an AI agent intended to influence obesity-related behavior change. Empirical studies published from 2020 to 2025 examining AI-supported interventions that provide personalized feedback, support natural language communication, or adapt content based on user progress will be included. A search of Scopus, Web of Science, and PubMed will be undertaken, limited to English-language publications, with backward and forward citation searching to improve coverage. Data will be extracted and synthesized narratively by AI agent characteristics, interaction design, targeted behaviors, and intervention outcomes using descriptive statistics and thematic analysis.

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Publication Details

Journal
Obesity Reviews
Published
2026-03-13
DOI
https://doi.org/10.1111/obr.70128
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Interventions Targeting Obesity‐Related Behaviors: Protocol for a Scoping Review

Byron Keating, Lu Yang, Shasha Wang
Obesity Reviews
Digital Mental Health Interventions
article

Artificial Intelligence Interventions Targeting Obesity‐Related Behaviors: Protocol for a Scoping Review

Byron Keating, Lu Yang, Shasha Wang
article en

Abstract

The objective of this scoping review is to examine the nature, extent, and impact of AI-supported interventions that include an AI agent intended to influence obesity-related behavior change. Empirical studies published from 2020 to 2025 examining AI-supported interventions that provide personalized feedback, support natural language communication, or adapt content based on user progress will be included. A search of Scopus, Web of Science, and PubMed will be undertaken, limited to English-language publications, with backward and forward citation searching to improve coverage. Data will be extracted and synthesized narratively by AI agent characteristics, interaction design, targeted behaviors, and intervention outcomes using descriptive statistics and thematic analysis.

Obesity Reviews
Queensland University of Technology (AU)
Quality Education
Openalex Percentile: Top 26%
Digital Mental Health Interventions
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