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

IF 7.6 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Obesity Reviews Pub Date : 2026-09-08 Epub Date: 2026-03-13 DOI:10.1111/obr.70128
Lu Yang, Byron W. Keating, Shasha Wang
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引用次数: 0

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.

针对肥胖相关行为的人工智能干预:范围审查方案
本综述的目的是研究人工智能支持的干预措施的性质、程度和影响,其中包括旨在影响肥胖相关行为改变的人工智能代理。2020年至2025年期间发表的实证研究将包括人工智能支持的干预措施,这些干预措施提供个性化反馈、支持自然语言交流或根据用户进度调整内容。将对Scopus、Web of Science和PubMed进行搜索,仅限于英语出版物,并进行向后和向前引文搜索以提高覆盖范围。数据将通过描述性统计和专题分析,从人工智能主体特征、交互设计、目标行为和干预结果等方面进行提取和叙事合成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Obesity Reviews
Obesity Reviews 医学-内分泌学与代谢
CiteScore
19.30
自引率
1.10%
发文量
130
审稿时长
1 months
期刊介绍: Obesity Reviews is a monthly journal publishing reviews on all disciplines related to obesity and its comorbidities. This includes basic and behavioral sciences, clinical treatment and outcomes, epidemiology, prevention and public health. The journal should, therefore, appeal to all professionals with an interest in obesity and its comorbidities. Review types may include systematic narrative reviews, quantitative meta-analyses and narrative reviews but all must offer new insights, critical or novel perspectives that will enhance the state of knowledge in the field. The editorial policy is to publish high quality peer-reviewed manuscripts that provide needed new insight into all aspects of obesity and its related comorbidities while minimizing the period between submission and publication.
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