Internet of Things-based Smart Health Monitoring and Virtual Patient Simulation Systems, Deep Learningbased Medical Imaging and Brain–Computer Interface Technologies, and Digital Twin-based Clinical and Medical Care Processes in the...
Internet of Things-based Smart Health Monitoring and Virtual Patient Simulation Systems, Deep Learningbased Medical Imaging and Brain–Computer Interface Technologies, and Digital Twin-based Clinical and Medical Care Processes in the...
Author(s): Aurel PeraSubject(s): Health and medicine and law, Demography and human biology, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: Internet of Things-based smart health monitoring; virtual patient simulation; deep learning-based medical imaging; brain–computer interface; digital twin-based clinical and medical care; blockchain-based healthcare metaverse;
Summary/Abstract: This paper provides a systematic literature review of studies investigating visual medical data and Internet of Things-based smart health monitoring systems. Throughout February 2024, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “blockchain-based healthcare metaverse” + “Internet of Things-based smart health monitoring and virtual patient simulation systems,” “deep learning-based medical imaging and brain–computer interface technologies,” and “digital twinbased clinical and medical care processes.” As research published between 2022 and 2024 was inspected, only 177 articles satisfied the eligibility criteria, and 33 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: Abstrackr, CADIMA, DistillerSR, Litstream, Nested Knowledge, and R package and Shiny app citationchaser.
Journal: American Journal of Medical Research
- Issue Year: 11/2024
- Issue No: 1
- Page Range: 87-102
- Page Count: 16
- Language: English
- Content File-PDF