使用人工智能识别计算机辅助认知行为疗法的有效组件
Jeremy J Coleman1, Jesse Owen2,3, Jesse H Wright4
1Educational Psychology Department, Counseling/Counseling Psychology Program, The University of Utah, Salt Lake City, Utah, USA.
Clinical psychology & psychotherapy
|December 3, 2024
概括
人工智能确定了临床医生支持的计算机辅助认知行为疗法 (CCBT) 的关键组成部分. 开放式问题是减少患者焦虑症状的最有效技术.
科学领域:
- 精神病学是一个精神病学.
- 心理学 心理学 心理学
- 人工智能的人工智能
背景情况:
- 临床医生支持的计算机辅助认知行为疗法 (CCBT) 对抑郁和焦虑有效.
- 有助于CCBT结果的具体指导干预措施尚未得到充分理解.
研究的目的:
- 使用人工智能 (AI) 来识别临床医生支持的CCBT的特定组件.
- 为了将这些组成部分与初级保健机构的治疗结果相关联.
主要方法:
- 利用了随机临床试验 (n=95) 的数据,将CCBT与通常治疗进行比较.
- 在教练课程期间使用Lyssn系统与AI编码治疗技术.
- 评估结果使用患者健康问卷 (PHQ-9),通用焦虑症 (GAD-7),对生活满意度 (SWLS) 和自动思维问卷 (ATQ) 在12周,以及3个月和6个月的随访.
主要成果:
- 13个AI识别的变量与12周减少焦虑 (GAD-7) 有显著的相关性.
- 有效的干预措施包括指导式发现,理解,人际关系有效性和议程设置.
- 开放问题的比例是改善焦虑结果的最有影响力的技术.
- 没有特定的CBT干预与抑郁症 (PHQ-9),生活满意度 (SWLS) 或自动思维 (ATQ) 的改善有显著关联.
结论:
- 治疗师使用开放式问题是改善临床医生支持的CCBT中的焦虑结果的关键因素.
- 虽然特定于CBT的技术显示了对焦虑的短期益处,但开放式问题显示了持续的影响.
- 需要进一步的研究来确定在这种治疗模式内改善抑郁和生活满意度的干预措施.
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