ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore immersive clinical care, disease prevention, diagnosis, and treatment, and physiological and psychological outcomes by augmented reality-based surgical procedures in the healthcare metaverse. Throughout January 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “metaverse clinical settings and Internet of Things digital twin simulation environments” + “computational modeling prediction-based health recovery adjustment,” “wearable sensor-based healthcare system performance accuracy,” and “virtual haptic perception and biomedical imaging technologies.” As research published between 2022 and 2023 was inspected, only 164 articles satisfied the eligibility criteria, and 22 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: computational modeling; wearable sensor; virtual haptic perception; biomedical imaging; metaverse clinical settings; Internet of Things digital twin

How to cite: Walsh, M. (2023). “Computational Modeling Prediction-based Health Recovery Adjustment, Wearable Sensor-based Healthcare System Performance Accuracy, and Virtual Haptic Perception and Biomedical Imaging Technologies across Metaverse Clinical Settings and Internet of Things Digital Twin Simulation Environments,” American Journal of Medical Research 10(1): 37–51. doi: 10.22381/ajmr10120233.

Received 20 February 2023 • Received in revised form 25 April 2023
Accepted 27 April 2023 • Available online 30 April 2023