Clinical Artificial Intelligence and Healthcare Metaverse Systems, Wearable Healthcare and Medical Imaging Technologies, and Internet of Things-based Therapeutic Intervention Optimization Assisting Medical Patient Data Processing and Diagnosis Decision Augmentation-based Treatment Planning
In this research, previous findings were cumulated showing that digital twin and blockchain technologies, cloud computing-based medical data analysis, and remote medical management are pivotal in the Internet of Things healthcare metaverse. Throughout August 2023, a quantitative literature review of...
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Veröffentlicht in: | American journal of medical research (New York, N.Y.) N.Y.), 2023-10, Vol.10 (2), p.52-66 |
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Sprache: | eng |
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Zusammenfassung: | In this research, previous findings were cumulated showing that digital twin and blockchain technologies, cloud computing-based medical data analysis, and remote medical management are pivotal in the Internet of Things healthcare metaverse. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "medical patient data processing and diagnosis decision augmentation-based treatment planning" + "clinical artificial intelligence and healthcare metaverse systems," "wearable healthcare and medical imaging technologies," and "Internet of Things-based therapeutic intervention optimization." As research published between 2022 and 2023 was inspected, only 160 articles satisfied the eligibility criteria, and 21 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: AMSTAR, Dedoose, Distiller SR, and SRDR. Keywords: clinical artificial intelligence; healthcare metaverse; medical imaging; Internet of Things-based therapeutic intervention; medical patient data processing; diagnosis decision augmentation-based treatment planning |
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ISSN: | 2334-4814 2376-4481 |
DOI: | 10.22381/ajmr10220234 |