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人工智能在肥胖管理中的应用:图书识别分析
Ziping Hu1, Junfan Wei2, Yuqin Guo1
1Shenzhen Clinical College of Integrated Chinese and Western Medicine, Guangzhou University of Chinese Medicine, ShenZhen, China.
Digital health
|February 27, 2026
概括
人工智能 (AI) 正在彻底改变肥胖管理. 本文库分析突出了远程医疗和机器学习等关键研究趋势,指导未来的AI应用来打击肥胖.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 人工智能的人工智能
背景情况:
- 肥胖是全球死亡率的主要可预防原因之一.
- 人工智能 (AI) 在预防,诊断和管理肥胖方面显示出重大前景.
- 了解研究格局对于在该领域推进人工智能应用至关重要.
研究的目的:
- 系统地审查人工智能在肥胖管理中的应用,使用文献识别分析.
- 为了确定关键的研究热点和AI对肥胖的新兴趋势.
- 为这个领域的未来研究方向提供见解.
主要方法:
- 从科学网络核心集合 (开始至2025年6月) 中对出版物的图书统计分析.
- 使用VOSviewer进行并发网络分析 (国家,机构,作者,关键词).
- 使用CiteSpace进行关键词突发分析,以及Bibliometrix R包用于识别有影响力的元素.
主要成果:
- 分析了来自42个国家的420个出版物,涉及806个机构和2589名作者.
- 美国在出版物和引用方面处于领先地位;哈佛大学和作者El Chaar,M.很突出.
- 确定了关键的研究主题:远程医疗,机器学习应用,以及肥胖的外科治疗.
结论:
- 本文献分析提供了AI在肥胖管理中的全面概述.
- 未来的研究应该优先考虑多中心试验,纵向数据和人工智能实施的明确政策.
- 提高人工智能的通用性,有效性和安全性对于解决全球肥胖负担至关重要.
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