数字和人工智能增强的认知行为治疗失眠:神经认知机制和临床结果
Evgenia Gkintoni1, Stephanos P Vassilopoulos1, Georgios Nikolaou1
1Department of Educational Sciences and Social Work, University of Patras, 26504 Patras, Greece.
Journal of clinical medicine
|April 12, 2025
概括
针对失眠的数字和人工智能增强认知行为疗法 (CBT) 显示出改善睡眠和个性化治疗的前景. 与传统方法相比,这些先进的干预措施提供了更大的可访问性和可扩展性.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 心理学 心理学 心理学
背景情况:
- 失眠严重影响认知功能,健康和生活质量.
- 对于失眠的传统认知行为疗法 (CBT) 在可扩展性和个性化方面具有有效性限制.
- 数字和人工智能驱动的干预措施为可访问和个性化的失眠治疗提供了新的方法.
研究的目的:
- 系统地审查数字化和人工智能增强的CBT对失眠的整合.
- 探索这些干预的潜在神经认知机制和临床结果.
- 评估AI在解决失眠传统CBT局限性的潜力.
主要方法:
- 按照PRISMA指南进行系统审查.
- 包括来自主要科学数据库的78项研究 (2004-2024年).
- 优先考虑随机对照试验和对AI增强的CBT对失眠的实证研究.
主要成果:
- 数字和人工智能增强的CBT显著改善睡眠参数,坚持和患者满意度.
- 这些干预措施增强了基于神经认知概况的治疗个性化.
- 人工智能工具在优化治疗交付和调整干预措施以适应认知行为模式方面表现有前途,克服了访问和可扩展性问题.
结论:
- 人工智能增强的CBT具有强大的潜力,可以通过神经认知个性化和改善可访问性来推进失眠治疗.
- 挑战包括长期疗效的不确定性,实施障碍和道德考虑.
- 未来需要大规模的纵向研究来验证持续的神经认知和行为效益.
关键词:
由人工智能驱动的CBT.这是CBT CBT.人工智能的人工智能是人工智能.数字健康数字健康失眠是因为失眠.心理健康 心理健康神经认知特征 神经认知特征个性化治疗是个性化的治疗.睡眠障碍 睡眠障碍 睡眠障碍睡眠改善 改善睡眠更多相关视频
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