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Multidisciplinary Approach to Obesity Management: A Case Report
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多模式和多维的人工智能技术在肥胖中的应用.

Hyeseung Lee1,2, Jiyoung Hwang1,2, Dong Keon Yon1,2,3,4,5

  • 1Department of Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.

Journal of obesity & metabolic syndrome
|September 9, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 为肥胖管理提供了个性化,数据驱动的策略,包括风险预测和数字治疗. 人工智能驱动的减肥计划显示出显著的结果,但需要解决隐私和公平问题,以获得更广泛的公共卫生影响.

关键词:
人工智能的人工智能是人工智能.提供医疗保健服务.机器学习 机器学习肥胖问题 肥胖问题肥胖管理 肥胖管理

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科学领域:

  • 肥胖研究的研究.
  • 医疗保健中的人工智能
  • 数字健康数字健康

背景情况:

  • 全球肥胖患病率正在上升,这构成了复杂的公共卫生挑战.
  • 多维治疗方法对于有效的肥胖管理至关重要.
  • 人工智能 (AI) 的进步使个人化策略的新数据集成成为可能.

研究的目的:

  • 探索人工智能在个性化肥胖管理中的作用.
  • 审查人工智能在减肥和行为修改中的应用.
  • 确定AI在肥胖护理中的挑战和未来方向.

主要方法:

  • 在肥胖管理中对人工智能应用的审查,包括风险预测,临床决策支持,大型语言模型和数字治疗.
  • 分析人工智能驱动的减肥计划及其对行为变化的影响.
  • 检查道德考虑和实施挑战.

主要成果:

  • 人工智能促进了个性化,数据驱动的肥胖管理策略.
  • 基于人工智能的减肥计划显示了显著的减肥和行为改善.
  • 人工智能提高了可访问性,并提供持续的个性化反.

结论:

  • 人工智能具有巨大的潜力,可以通过个性化干预来改变肥胖管理.
  • 解决数据隐私,安全,透明度和健康公平对于负责任的AI实施至关重要.
  • 需要进行长期临床试验和成本效益评估,以优化AI在肥胖治疗中的公共卫生影响.