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

Internet of Medical Things-based Clinical Decision Support Systems, Smart Healthcare Wearable Devices, and Machine Learning Algorithms in COVID-19 Prevention, Screening, Detection, Diagnosis, and Treatment 基于医疗物联网的临床决策支持系统、智能医疗可穿戴设备和机器学习算法在COVID-19预防、筛查、检测、诊断和治疗中的应用

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9120225

Roman Hrosova Lenka Collier Janet Blazek

{"title":"Internet of Medical Things-based Clinical Decision Support Systems, Smart Healthcare Wearable Devices, and Machine Learning Algorithms in COVID-19 Prevention, Screening, Detection, Diagnosis, and Treatment","authors":"Roman Hrosova Lenka Collier Janet Blazek","doi":"10.22381/ajmr9120225","DOIUrl":"https://doi.org/10.22381/ajmr9120225","url":null,"abstract":"Keywords: smart healthcare wearable device;COVID-19;Internet of Medical Things 1.Introduction The purpose of our systematic review is to examine the recently published literature on COVID-19 prevention, screening, detection, diagnosis, and treatment and integrate the insights it configures on Internet of Medical Things-based clinical decision support systems, smart healthcare wearable devices, and machine learning algorithms. 3.Methodology Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Medical Things-based clinical decision support systems,\" \"smart healthcare wearable devices,\" and \"machine learning algorithms.\" COVID-19 data management can integrate real-time analysis of electronic health records (Akinbi et al., 2021;Asadzadeh et al., 2022;Rasheed et al., 2021), assisting in prevention, screening, detection, diagnosis, and treatment. Internet of Medical Things-driven remote monitoring systems can provide in-depth individualized healthcare data collection, analysis, processing, and diagnosis.","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68352653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Internet of Medical Things-driven Remote Monitoring Systems, Big Healthcare Data Analytics, and Wireless Body Area Networks in COVID-19 Detection and Diagnosis 医疗物联网驱动的远程监控系统、大医疗数据分析和无线体域网络在COVID-19检测和诊断中的应用

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9120226

John Hudson

{"title":"Internet of Medical Things-driven Remote Monitoring Systems, Big Healthcare Data Analytics, and Wireless Body Area Networks in COVID-19 Detection and Diagnosis","authors":"John Hudson","doi":"10.22381/ajmr9120226","DOIUrl":"https://doi.org/10.22381/ajmr9120226","url":null,"abstract":"The aim of this systematic review is to synthesize and analyze Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks in COVID-19 detection and diagnosis. Keywords: COVID-19;Internet of Medical Things;wireless body area network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 detection and diagnosis, and integrate the insights it configures on Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), remote monitoring of patients in Internet of Medical Things (section 4), wireless body area networks and wearable Internet of Things-enabled smart devices (section 5), Internet of Medical Things-assistive technologies, data mining techniques, and decision support systems (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10). 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Medical Things-driven remote monitoring systems,\" \"big healthcare data analytics,\" and \"wireless body area networks.\"","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68352741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Virtual Patient Diagnosis and Treatment, Networked Medical Devices, and Artificial Intelligence-based Diagnostic Algorithms in the Healthcare Metaverse and Immersive 3D Worlds 虚拟患者诊断和治疗，网络医疗设备，以及基于人工智能的诊断算法在医疗保健元世界和沉浸式3D世界

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr92202210

引用次数: 1

Virtual Healthcare Visits, Wearable Devices and Ambient Sensors, and Biomedical Big Data in the Metaverse Environment 虚拟医疗访问，可穿戴设备和环境传感器，以及元宇宙环境中的生物医学大数据

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220225

引用次数: 0

Internet of Things-based Health Monitoring Systems, Artificial Intelligence-driven Diagnostic Algorithms, and Body Area Sensor Networks in COVID-19 Prevention, Screening, and Treatment 基于物联网的健康监测系统、人工智能驱动的诊断算法和身体区域传感器网络在COVID-19预防、筛查和治疗中的应用

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9120228

Peter Bowles

{"title":"Internet of Things-based Health Monitoring Systems, Artificial Intelligence-driven Diagnostic Algorithms, and Body Area Sensor Networks in COVID-19 Prevention, Screening, and Treatment","authors":"Peter Bowles","doi":"10.22381/ajmr9120228","DOIUrl":"https://doi.org/10.22381/ajmr9120228","url":null,"abstract":"Despite the relevance of Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks in COVID-19 prevention, screening, and treatment, only limited research has been conducted on this topic. Throughout January 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including \"COVID-19\" + \"Internet of Things-based health monitoring systems,\" \"artificial intelligence-driven diagnostic algorithms,\" and \"body area sensor networks.\" Keywords: Internet of Medical Things;COVID-19;body area sensor network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 prevention, screening, and treatment, and integrate the insights it configures on Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks. Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability. 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including \"COVID-19\" + \"Internet of Things-based health monitoring systems,\" \"artificial intelligence-driven diagnostic algorithms,\" and \"body area sensor networks.\" Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability.","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68353576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Wireless Biomedical Sensing Devices, Virtual Care Technologies, and Ambient Intelligence Algorithms in Metaverse-based Healthcare Monitoring Systems 无线生物医学传感设备，虚拟护理技术，以及基于meta - verse的医疗监测系统中的环境智能算法

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220228

引用次数: 0

Metaverse Healthcare Data, Smart Wearable Sensing Systems, and Immersive 3D Experiences in Virtual Diagnostic Environments 虚拟诊断环境中的虚拟医疗保健数据、智能可穿戴传感系统和沉浸式3D体验

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220222

引用次数: 1

Healthcare Diagnosis and Treatment in the Metaverse: Remote Sensing Algorithms, Networked Wearable Devices, and Virtual Patient Data 虚拟世界中的医疗保健诊断和治疗:遥感算法、联网可穿戴设备和虚拟患者数据

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220223

引用次数: 2

Immersive Metaverse Experiences in Decentralized 3D Virtual Clinical Spaces: Artificial Intelligence-driven Diagnostic Algorithms, Wearable Internet of Medical Things Sensor Devices, and Healthcare Modeling and Simulation Tools 分散3D虚拟临床空间中的沉浸式元宇宙体验:人工智能驱动的诊断算法、可穿戴医疗物联网传感器设备以及医疗建模和仿真工具

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220226

引用次数: 3

Simulation and Virtualization Technologies, Artificial Intelligence Diagnostic Tools, and Metaverse Healthcare Systems in 3D Immersive Environments 模拟和虚拟化技术，人工智能诊断工具，以及三维沉浸式环境中的元宇宙医疗保健系统

American journal of medical research (New York, N.Y.) Pub Date : 2022-01-01 DOI: 10.22381/ajmr9220221

引用次数: 0