实用老年医学 ›› 2026, Vol. 40 ›› Issue (2): 159-163.doi: 10.3969/j.issn.1003-9198.2026.02.011

• 临床研究 • 上一篇    下一篇

人工智能辅助的多认知域训练对轻度认知障碍老年人的影响:一项基于社区老年人的随机对照试验

钟海龙, 钟长征, 钟琼, 王魁元, 郭艳艳, 胡建华   

  1. 341000 江西省赣州市,赣州市第三人民医院老年精神科
  • 收稿日期:2025-08-04 出版日期:2026-02-20 发布日期:2026-02-27
  • 通讯作者: 胡建华,Email:573415212@qq.com
  • 基金资助:
    赣州市重点研发计划项目(GZ2024YLJ243)

Impact of artificial intelligence-assisted multi-cognitive domain training on elderly patients with mild cognitive impairment: a randomized controlled trial among community-dwelling elderly individuals

ZHONG Hailong, ZHONG Changzheng, ZHONG Qiong, WANG Kuiyuan, GUO Yanyan, HU Jianhua   

  1. Department of Geriatric Psychiatry, the Third People’s Hospital of Ganzhou, Ganzhou 341000, China
  • Received:2025-08-04 Online:2026-02-20 Published:2026-02-27
  • Contact: HU Jianhua, Email: 573415212@qq.com

摘要: 目的 探讨人工智能(AI)辅助的多认知域训练治疗社区轻度认知障碍(MCI)老年人的效果。 方法 采用随机对照试验设计,选取2024年1月至2025年2月期间在赣州市第三人民医院门诊就诊符合MCI诊断且来自社区的老年人100例,按1∶1比例随机分为对照组(n=50)和试验组(n=50)。对照组接受常规认知干预,试验组接受AI辅助的多认知域训练。2组干预周期均为12周。在干预前、干预8周及12周时,采用MoCA和MMSE评估认知功能,采用神经精神问卷(NPI)评估精神行为症状,采用改良Barthel指数(MBI)评估日常生活活动能力。 结果 2组年龄、性别、受教育年限、婚姻状况、服用AD药物方面差异无统计学意义(均P>0.05)。重复测量方差分析结果显示,干预8、12周,2组MoCA总分、MMSE总分、NPI总分、MBI总分均较干预前显著改善,且试验组上述指标改善情况优于对照组,差异均有统计学意义(P<0.05)。 结论 AI辅助的多认知域训练能够有效改善社区MCI老年人的认知功能,减轻精神行为症状,并提升日常生活活动能力,具有良好的干预效果和推广价值。   

关键词: 人工智能, 轻度认知障碍, 认知训练, 随机对照试验, 老年人

Abstract: Objective To explore the effects of artificial intelligence (AI)-assisted multi-cognitive domain training on community elderly with mild cognitive impairment (MCI). Methods A randomized controlled trial was conducted. A total of 100 community-dwelling older adults diagnosed with MCI and visiting the outpatient clinic of the Third People’s Hospital of Ganzhou between January 2024 and February 2025 were enrolled and randomly assigned in a 1∶1 ratio to either a control group (n=50) or an experimental group (n=50). The control group received conventional cognitive intervention, while the experimental group received AI-assisted multi-cognitive domain training. Both interventions lasted for 12 weeks. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE); Neuropsychiatric symptoms were evaluated with the Neuropsychiatric Inventory (NPI); And activities of daily living were measured by the modified Barthel Index (MBI) at baseline, the 8th week, and the 12th week of the intervention. Results There were no statistically significant differences between the two groups in terms of age, gender, years of education, marital status, or use of Alzheimer’s disease medication (all P>0.05). Repeated-measures ANONA showed that, at the 8th and 12th week of the intervention, both groups demonstrated significant improvements in the scores of MoCA, MMSE, NPI, and MBI compared to baseline, especially in the experimental group (all P<0.05). Conclusions AI-assisted multi-cognitive domain training can effectively improve cognitive function, alleviate neuropsychiatric symptoms, and enhance activities of daily living among community elderly with MCI, demonstrating favorable intervention efficacy and potential for broader application.    

Key words: artificial intelligence, mild cognitive impairment, cognitive training, randomized controlled trial, aged

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