人工智能增强与临床指导的表达性写作,以改善癌症幸存者的心理福祉:一个随机对照试验
Xueling Yang1,2, Yongxin Huo1, Yishu Wang1
1Department of Psychology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China.
Psycho-oncology
|January 15, 2026
概括
人工智能 (AI) 增强和临床医生指导的数字干预有效地减少了癌症幸存者的抑郁和焦虑. 临床医生支持显示,对恐惧进展的效果更大,建议混合模式,以获得最佳的心理护理.
科学领域:
- 心理瘤学 心理瘤学
- 数字健康干预措施 数字健康干预措施
- 医疗保健中的人工智能
背景情况:
- 数字工具为癌症幸存者的心理福祉提供了可扩展的支持.
- 人工智能增强和临床医生指导的数字干预之间的直接疗效比较很少.
- 这项研究解决了对癌症患者数字心理健康支持的比较数据的需求.
研究的目的:
- 评估人工智能增强的表达性写作干预与临床医生指导的数字支持和癌症幸存者的通常护理.
- 为了比较人工智能驱动与人为主导的数字干预对抑郁症,焦虑,恐惧的进展和恢复力的有效性.
- 探索人工智能和临床医生指导的数字心理健康支持之间的患者体验的定性差异.
主要方法:
- 一个随机对照试验,涉及120名癌症幸存者 (111名完成者).
- 参与者被随机分配到人工智能增强的表达性写作,临床医生指导的数字支持或通常的护理4周.
- 结果 (抑郁症,焦虑,FoP,弹性) 在基线,干预后和1个月后跟踪使用ANOVA和专题分析进行了评估.
主要成果:
- 与常规护理相比,人工智能和临床医生指导的干预措施都显著降低了抑郁症和焦虑症,效果相似.
- 临床指导支持在减少恐惧进展 (FoP) 方面表现出更大的有效性.
- 适应力在所有组都得到改善,没有显著差异;人工智能减少了耻辱感,而临床医生指导的支持提供了同情的联系.
结论:
- 人工智能增强的表达性写作是一种可行的,可扩展的工具,用于减少癌症幸存者的抑郁和焦虑.
- 临床医生指导的数字支持在像FoP这样的复杂问题上显示出更大的有效性,突出了人类同情心的价值.
- 将AI可扩展性与临床专业知识相结合的混合模型被提倡用于增强幸存者的心理护理.
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