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在互联网上提供失眠的认知行为疗法:失眠治疗的未来,使用大型语言模型

Chenxing Lin¹, Chen Cheng², Yu Xia²

¹Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), 325000, China.

Sleep medicine: X

|November 17, 2025

概括

失眠的认知行为疗法 (CBT-I) 正在发展. 由人工智能驱动的CBT-I,使用大型语言模型 (LLM),提供个性化治疗以改善结果和参与度,解决传统和互联网交付方法的局限性.

科学领域:

睡眠医学睡眠医学
数字健康数字健康
人工智能的人工智能

背景情况:

失眠的患病率正在上升,需要有效的治疗.
失眠的认知行为疗法 (CBT-I) 是一种关键的非药物治疗方法.
传统的CBT-I在患者接受和治疗持续时间方面面临挑战.

研究的目的:

审查CBT-I和通过互联网提供的CBT-I (eCBT-I) 的现状和挑战.
探索人工智能 (AI) 的潜力,特别是大型语言模型 (LLM),在CBT-I.
为人工智能驱动的CBT-I.I.提出未来研究方向.

主要方法:

对CBT-I,eCBT-I和AI在治疗中的应用进行文献综述.
对个人化治疗建议的LLM能力的分析.
确定挑战和未来的研究需求.

主要成果:

eCBT-I提供了灵活性和可访问性,但面临数字素养和参与问题.
通过提供个性化的反和改善患者参与度,LLM可以增强CBT-I.
人工智能驱动的CBT-I显示出更好的治疗结果的希望.

结论:

人工智能,特别是LLM,代表了CBT-I的重大进步.
未来的研究应该专注于人工智能驱动的CBT-I多源数据融合和隐私保护.
人工智能集成对于失眠疗法的创新和开发至关重要.

关键词:

人工智能的人工智能是人工智能.对于失眠的认知行为治疗.治疗失眠的治疗方法通过互联网为失眠提供认知行为疗法.大型语言模型.

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