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Updated: Feb 5, 2026

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一个探索性随机对照试验的AI-enabled心理健康干预一般性焦虑
Andrew Allen1, Allan H Young2, Francine Jellesma3
1School of Health, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, 4557, Australia.
Journal of affective disorders
|February 3, 2026
概括
在英国的一项试验中,一个人工智能心理健康应用程序显著减少了焦虑和抑郁症状. 应用程序的持续使用导致了持续的改进,突出了其在可访问的精神卫生保健方面的潜力.
科学领域:
- 数字心理健康数字心理健康
- 医疗保健中的人工智能
- 临床心理学 临床心理学
背景情况:
- 一般性焦虑症 (GAD) 和抑郁症很普遍,导致严重的残疾.
- 像CBT和SSRI这样的现有治疗方法的可用性有限.
- 需要可扩展,可访问的数字干预措施来解决心理健康治疗差距.
研究的目的:
- 评估人工智能驱动的心理健康应用程序 (PATH) 在减少焦虑和抑郁症状方面的有效性.
- 将AI应用程序干预与使用NHS自助网站的对照组进行比较.
- 在多个时间点 (2,8周和12周) 评估症状减少.
主要方法:
- 一项探索性随机受控试验,涉及316名英国参与者 (年龄19-70岁).
- 参与者被随机分配到干预组 (PATH应用程序) 或对照组 (NHS网站).
- 焦虑 (GAD-7) 和抑郁 (PHQ-9) 评分在基线和随访点进行测量.
主要成果:
- 与对照组相比,干预组在两周内显示出明显较低的GAD-7和PHQ-9得分 (中等效果大小).
- 在八周后继续使用应用程序与焦虑和抑郁症的显著减少有关.
- 症状的改善在十二周后保持,效果大小中等至大.
结论:
- 由人工智能驱动的PATH应用程序有效地减少了焦虑和抑郁症的症状.
- 与数字干预的持续参与提高了治疗结果.
- PATH是一个可扩展和可访问的解决方案,可以弥补心理健康治疗缺口.
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