针对情绪困扰的成年人进行PST培训的语音支持人工智能辅导员的研究 (SPEAC-2):设计和方法
Corina R Ronneberg1, Nan Lv1, Olusola A Ajilore2
1Department of Medicine, University of Illinois Chicago, 1747 W. Roosevelt Rd, Chicago, IL 60608, United States of America.
这项研究调查了Lumen,这是一款用于解决问题治疗 (PST) 的AI驱动虚拟教练,用于治疗抑郁症和焦虑症. 卢门显示了提高精神卫生保健的可访问性和有效性的潜力.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 人工智能的人工智能
背景情况:
- 解决日益严重的抑郁症和焦虑症流行需要新的,可扩展的心理治疗方法.
- 人工智能 (AI) 被利用来开发Lumen,这是一个基于语音的虚拟教练,提供解决问题治疗 (PST).
- 最初的试验表明,Lumen有提高认知控制和减少抑郁和焦虑症状的潜力.
研究的目的:
- 在一项随机临床试验中验证Lumen的疗效.
- 与等待列表控制器相比,为了确认Lumen用户对认知控制的神经点参与,与等待列表控制器相比.
- 评估Lumen与人类训练的PST的非劣等性及其对患者报告结果的影响.
主要方法:
- 一个三臂随机临床试验,涉及200名患有轻度至中度抑郁/焦虑的参与者.
- 参与者被分配到Lumen-coached PST,人类-coached PST或等候名单控制 (2:1:1比率).
- 在基线和18周的评估包括神经成像 (去/不去任务) 和症状/功能问卷.
主要成果:
- 主要结果是,在Lumen组对等候名单对照中,对右背侧侧前额叶皮层对认知控制的参与有显著更大的改善.
- 第二个结果是显示Lumen在神经目标参与中与人类训练的PST相比没有劣势.
- 进一步的分析将检查治疗对抑郁症,焦虑,功能,生活质量及其与神经变化的关系的影响.
结论:
- 这项研究有可能提高心理治疗的覆盖范围和有效性.
- 灯光可以帮助克服心理健康护理的障碍,包括获取,成本和耻辱感.
- 这些发现可能会对抑郁症和焦虑症的治疗环境产生重大影响.
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