Full-Course Closed-Loop Management for Neurological Disorders through Artificial Intelligence-Powered Terminal Devices

doi:10.3969/j.issn.1673-5765.2025.08.001

Abstract

Abstract: The deep integration of artificial intelligence and terminal devices is driving the transformation of the full-course management of neurological disorders toward intelligence, continuity, and precision. This article reviews the applications of such terminals devices as smartphones, wearable devices, ambient intelligence, and robots in the full-course management of the diseases. It proposes a closed-loop framework centered on the “monitoring-analysis-decision-making-intervention-feedback”, and highlights the development of an integrated “hospital-community-family” service model. These approaches provide theoretical foundations and practical pathways for establishing a new paradigm of full-course closed-loop management of neurological disorders.

Key words: Neurological disorder; Digital intelligent healthcare; Artificial intelligence; Terminal device; Closed-loop management

摘要： 人工智能与终端设备的深度融合正推动着神经系统疾病全病程管理向智能化、连续化和精准化转型。本文系统阐述了智能手机、可穿戴设备、环境智能与机器人等终端设备在疾病全病程管理中的应用，提出以“监测-分析-决策-干预-反馈”为核心的闭环管理框架，并强调构建“医院-社区-家庭”一体化服务模式，为建立神经系统疾病全病程闭环管理新范式提供理论支持与实践路径。

关键词: 神经系统疾病; 数智医疗; 人工智能; 终端设备; 闭环管理

CLC Number:

R74
TP18

ZHOU Hongyu, LI Zixiao, WANG Chunjuan. Full-Course Closed-Loop Management for Neurological Disorders through Artificial Intelligence-Powered Terminal Devices[J]. Chinese Journal of Stroke, 2025, 20(8): 935-941.

周宏宇, 李子孝, 王春娟. 人工智能赋能终端设备驱动的神经系统疾病全病程闭环管理[J]. 中国卒中杂志, 2025, 20(8): 935-941.

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