将人工智能整合到酒管理和预防复发中:对干预策略和结果的系统审查
K M Soubhagya1, Sheela Upendra2
1Symbiosis International (Deemed University), Pune, India.
Nursing & health sciences
|December 19, 2025
概括
人工智能 (AI) 在管理酒精使用障碍和预防复发方面表现有前途. 移动应用程序是常见的AI干预,大多数研究表明在这个新兴的医疗保健领域取得了积极的结果.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 酒精使用障碍 (AUD) 管理传统上依赖于药物治疗和行为疗法.
- 新兴技术,特别是人工智能 (AI),越来越多地被用于AUD治疗和复发预防.
- 目前,人工智能在医疗保健中的整合,特别是AUD,处于起步阶段,但显示出巨大的潜力.
研究的目的:
- 综合评估最近关于人工智能在酒精管理中的应用研究.
- 评估人工智能在酒精使用障碍患者的复发预防策略中的作用.
- 综合关于人工智能干预在AUD中的有效性和趋势的发现.
主要方法:
- 在主要数据库 (SCOPUS,PubMed,Medline,Web of Science,Cochrane Library) 中使用PICO公式进行了系统的文献搜索.
- 使用关键字和布尔运算符来完善搜索策略.
- 选择了12篇全文论文进行审查,并使用Cochrane RoB 2.0和ROBINS-I工具进行了偏差评估.
主要成果:
- 人工智能在酒精管理和复发预防方面的应用正呈上升趋势.
- 大多数审查的研究报告了与人工智能干预相关的积极结果.
- 移动应用程序成为该领域最常用的技术干预.
结论:
- 人工智能是医疗保健领域快速发展的领域,为管理酒精使用障碍提供了新的途径.
- 这些发现支持AI在AUD治疗和复发预防中的日益普及和积极影响.
- 进一步的研究,投资和开发是有必要的,以充分实现AI在这个领域的潜力.
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