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老年人心理健康的智能诊疗技术研究进展 被引量:1

Research Progress on Intelligent Diagnosis and Treatment Technologies for the Mental Health of the Elderly
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摘要 随着大众心理健康认知的提升以及收入水平的提高,对老年人心理健康服务的需求趋势渐渐扩大。老年群体产生的各种心理障碍或负面情绪需要持续疏解,对心理健康服务团队或平台、中重度心理或精神疾病的专业医疗支持产生需求。由此,满足老年人的心理健康诊疗产品存在巨大市场潜力。本文综述了老年人心理健康智能诊疗技术的研究现状,包括当前老年人心理健康问题的现状及危害,提出老年人对心理健康的医疗需求,最后阐述了智能诊疗技术存在的问题,并对其发展趋势进行展望,以期为缓解老年心理健康疾病患者面临的各种问题提供参考。 With the improvement of public awareness of mental health and income levels,the demand for mental health services for the elderly is gradually expanding.The elderly population needs to alleviate various psychological disorders or negative emotions.Elderly people have a demand for mental health service teams or platforms,and professional medical support for moderate to severe psychological or mental illnesses.There is huge market potential for products that meet the psychological health needs of the elderly.This paper reviewed the current research status of intelligent diagnosis and treatment technology for the mental health of the elderly,including the current status and harm of mental health issues in the elderly,and proposed the medical needs of the elderly for mental health.Finally,the problems existed in intelligent diagnosis and treatment technology were elaborated,and the development trend was discussed,aiming to provide reference for alleviating various problems faced by elderly patients with mental health disorders.
作者 石晓飞 王磊 杨爱娟 徐文畅 周贲 姜琛昱 SHI Xiaofei;WANG Lei;YANG Aijuan;XU Wenchang;ZHOU Ben;JIANG Chenyu(Jinan Guoke Medical Technology Development Co.,Ltd.,Jinan Shandong 250101,China;Suzhou Institute of Biomedical Engineering Technology,Chinese Academy of Sciences,Suzhou Jiangsu 215163,China;School of Medical Information Engineering,Shandong University of Traditional Chinese Medicine,Jinan Shandong 250355,China)
出处 《中国医疗设备》 2025年第2期149-154,共6页 China Medical Devices
基金 山东省重点研发计划(重大科技创新工程)项目(2021SFGC0104)。
关键词 智能诊疗 老年人心理健康 人工智能 心理干预 医学辅助决策 机器学习 intelligent diagnosis and treatment mental health of the elderly artificial intelligence psychological intervention medically assisted decision making machine learning
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