基于语音的教练使用人工智能对心理痛苦的影响和机制:第二阶段随机试验
medRxiv : the preprint server for health sciences
|January 8, 2026
概括
人工智能 (AI) 语音辅导有效地减少了与等候名单对照相比,中度抑郁和/或焦虑的成年人的心理痛苦. 人工智能驱动的解决问题治疗 (PST) 显示了与人类辅导相似的结果,表明了可行的新治疗选择.
科学领域:
- 数字健康和心理健康 医疗保健
- 临床应用中的人工智能
- 精神病学和行为科学
背景情况:
- 人工智能 (AI) 语音应用程序在治疗抑郁症和焦虑症方面表现有前途,但它们的治疗效果尚未得到充分证实.
- 需要为未经治疗的中度抑郁症和/或焦虑症患者探索新的,可访问的治疗方式.
研究的目的:
- 评估Lumen的有效性和潜在机制,这是一个由AI驱动的语音教练,提供解决问题的治疗 (PST).
- 为了比较Lumen-coached PST与人类-coached PST和等候名单对照组在中度抑郁和/或焦虑的成年人中.
主要方法:
- 一个2期,3臂随机临床试验,涉及200名中度抑郁和/或焦虑的成年参与者.
- 参与者被分配到Lumen训练的PST,人类训练的PST或等候名单控制.
- 通过人工智能语音应用程序或人类视频会议在8周内提供PST;在18周后使用医院焦虑和抑郁量表和解决问题能力的措施评估结果.
主要成果:
- 与等候名单对照组相比,Lumen-coached PST显著减少了心理痛苦,抑郁和焦虑症状 (Cohen 的d=0.49,0.19和0.61).
- 在Lumen-coached和人类-coached PST之间没有发现任何症状减轻的统计学上显著差异.
- 这两种辅导方法都提高了解决问题的能力和负面的问题导向,与减少心理痛苦和焦虑相关.
结论:
- 人工智能驱动的语音辅导提供PST (Lumen) 似乎是适度抑郁和/或焦虑的可行治疗选择.
- 通过第三期试验进一步证实临床疗效是有必要的.
- 人工智能语音辅导提供了一个潜在的可扩展的解决方案,以解决未满足的心理健康治疗需求.
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