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认知数字疗法干预轻度认知障碍的现状与挑战

穆泓宇 李倩倩 刘璐 孙欣如 张佳琪 段叶青 李彬

中国全科医学2026,Vol.29Issue(29):4211-4216,6.
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中国全科医学2026,Vol.29Issue(29):4211-4216,6.DOI:10.12114/j.issn.1007-9572.2026.0023

认知数字疗法干预轻度认知障碍的现状与挑战

Research Progress and Challenges of Cognitive Digital Therapeutics in the Intervention of Mild Cognitive Impairment

穆泓宇 1李倩倩 1刘璐 1孙欣如 1张佳琪 1段叶青 2李彬1

作者信息

  • 1. 100010 北京市,首都医科大学附属北京中医医院针灸中心||100010 北京市,数智针灸北京市重点实验室||100010 北京市,针灸神经调控北京市重点实验室
  • 2. 100010 北京市,首都医科大学附属北京中医医院针灸中心||100010 北京市,数智针灸北京市重点实验室||100010 北京市,针灸神经调控北京市重点实验室||100029 北京市,北京中医药大学研究生院
  • 折叠

摘要

Abstract

Mild cognitive impairment(MCI)is a critical transitional stage preceding dementia.With limited pharmacological options available,scalable non-pharmacological interventions are urgently needed.Cognitive digital therapeutics(CDT)represents an emerging approach for cognitive training and long-term management in individuals with MCI.This review summarizes clinical studies of CDT in MCI,synthesizing training modalities,delivery platforms,and their effects on cognitive outcomes.This review also summarizes neuroimaging evidence and highlights potential mechanisms whereby CDT may act through promoting structural brain plasticity and reorganization of functional networks.Building on these findings,this review discusses key challenges in current CDT research,including the lack of adherence assessment,short follow-up durations,and substantial heterogeneity of intervention protocols,and highlights the potential role of artificial intelligence in personalized adaptation,supervised feedback,and remote assessment.Overall,CDT may offer value for long-term MCI management,but longer follow-up studies and standardized adherence-related outcomes are needed to better inform clinical practice and future study design.

关键词

轻度认知障碍/认知数字疗法/AI

Key words

Mild cognitive impairment/Cognitive digital therapeutics/Artificial intelligence

分类

医药卫生

引用本文复制引用

穆泓宇,李倩倩,刘璐,孙欣如,张佳琪,段叶青,李彬..认知数字疗法干预轻度认知障碍的现状与挑战[J].中国全科医学,2026,29(29):4211-4216,6.

基金项目

北京市科技计划项目——AI+健康协同创新培育项目(Z241100007724008) (Z241100007724008)

北京市"登峰"人才培养计划团队(DFL20241001) (DFL20241001)

中国全科医学

1007-9572

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