ABSTRACT. 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

How to cite: Michalikova, K. F., and Preda, A. (2023). “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,” American Journal of Medical Research 10(2): 52–66. doi: 10.22381/ajmr10220234.

Received 8 September 2023 • Received in revised form 25 October 2023
Accepted 29 October 2023 • Available online 30 October 2023