ABSTRACT. Empirical evidence on artificial intelligence-powered diagnostic tools, networked medical devices, and cyber-physical healthcare systems in assessing and treating patients with COVID-19 symptoms has been scarcely documented in the literature. Using and replicating data from Amwell, Brookings, Colorado Health Institute, Deloitte, DHS, Doximity, eMarketer, Intel, KPMG, and McKinsey, we performed analyses and made estimates regarding smart healthcare services and Internet of Things-based real-time applications and devices in the diagnosis and screening of COVID-19. Networked medical devices and applications have shaped Internet of Medical Things. COVID-19 detection and monitoring systems can acquire instantaneous symptom data from artificial intelligence-enabled wearable medical devices. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: COVID-19; cyber-physical healthcare system; networked medical device

How to cite: Welch, H., and Frajtova Michalikova, K. (2021). “Artificial Intelligence-Powered Diagnostic Tools, Networked Medical Devices, and Cyber-Physical Healthcare Systems in Assessing and Treating Patients with COVID-19 Symptoms,” American Journal of Medical Research 8(2): 91–104. doi: 10.22381/ajmr8220217.

Received 25 May 2021 • Received in revised form 6 October 2021
Accepted 14 October 2021 • Available online 28 October 2021

Helen Welch
This email address is being protected from spambots. You need JavaScript enabled to view it.
Real-Time Medical Data Analytics
Research Unit at CLI, Cardiff, Wales
(corresponding author)
Katarina Frajtova Michalikova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic

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