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American journal of medical research (New York, N.Y.)最新文献

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Real-Time Patient Monitoring throughout the COVID-19 Pandemic: How Health Systems Can Harness Telemedicine and Mobile Technology Services 2019冠状病毒病大流行期间患者实时监测:卫生系统如何利用远程医疗和移动技术服务
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220206
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引用次数: 1
Integrating Digital Technologies and Data-driven Telemedicine into Smart Healthcare during the COVID-19 Pandemic 在COVID-19大流行期间,将数字技术和数据驱动的远程医疗整合到智能医疗中
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220203
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引用次数: 10
The Mood Log – A Tool for Clustered Maintenance TMS 情绪日志-集群维护TMS的工具
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220202
S. Pridmore, S. Erger, M. Rybak, W. Pridmore
Transcranial magnetic stimulation (TMS) is a safe and effective treatment of treatment resistant major depressive disorder (MDD). However, MDD is a chronic disorder and relapse is common. The leading method of managing those cases of MDD who respond to TMS, but continue to relapse, is to provide maintenance TMS – short courses of 5 treatments over 2.5 days, repeat at monthly (or greater) intervals. The strategy is to increase the interval between treatment clusters and for patients to be discharged when they have been able to remain well for a couple of months. However, patients and doctors are both frequently apprehensive about increasing the between cluster interval, and patients tend to remain in treatment programs for long periods. We present a protocol and instrument to assist in moving from treatment to discharge, which we have found helpful.
经颅磁刺激(TMS)是一种安全有效的治疗难治性重度抑郁症(MDD)的方法。然而,重度抑郁症是一种慢性疾病,复发是常见的。治疗对经颅磁刺激有反应但继续复发的重度抑郁症病例的主要方法是提供维持性经颅磁刺激——5次治疗2.5天的短期疗程,每隔一个月(或更长时间)重复一次。该策略是增加治疗组之间的间隔时间,并在患者能够保持良好状态几个月后出院。然而,患者和医生都经常担心簇间间隔的增加,患者倾向于长期接受治疗。我们提出了一个方案和工具来帮助从治疗到出院,我们发现这很有帮助。
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引用次数: 1
Internet of Things-based Smart Healthcare Systems: Real-Time Patient-Generated Medical Data from Networked Wearable Devices 基于物联网的智能医疗系统:来自联网可穿戴设备的实时患者生成医疗数据
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7120203
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引用次数: 7
Big Healthcare Data Analytics in Internet of Medical Things 医疗物联网中的大数据分析
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7120207
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引用次数: 3
Socio-Affective Technologies for Psychological Health: Emotional Artificial Intelligence in Empathetic Robots 心理健康的社会情感技术:移情机器人的情感人工智能
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220201
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引用次数: 7
Shifting towards Digital Epidemiological Surveillance, Virtualized Care, and Smart Internet of Things-enabled Mobile-based Health Monitoring Systems in Response to COVID-19 向数字流行病学监测、虚拟化护理和支持智能物联网的移动健康监测系统转变以应对COVID-19
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220205
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引用次数: 1
Biomedical Big Data in Patient-centered Healthcare Services and Personalized Clinical Care 以患者为中心的医疗服务和个性化临床护理中的生物医学大数据
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7120205
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引用次数: 2
Remote Treatment of Patients during the COVID-19 Pandemic: Digital Technologies, Smart Telemedicine Diagnosis Systems, and Virtual Care 2019冠状病毒病大流行期间患者远程治疗:数字技术、智能远程医疗诊断系统和虚拟医疗
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220204
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引用次数: 5
Can Internet of Medical Things Improve Capabilities for COVID-19 Treatment and Reduce Transmission of the Disease? 医疗物联网能否提高COVID-19治疗能力并减少疾病传播?
Pub Date : 2020-01-01 DOI: 10.22381/ajmr7220208
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引用次数: 4
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American journal of medical research (New York, N.Y.)
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