Artificial Intelligence-Powered Diagnostic Tools, Networked Medical Devices, and Cyber-Physical Healthcare Systems in Assessing and Treating Patients with COVID-19 Symptoms

Artificial Intelligence-Powered Diagnostic Tools, Networked Medical Devices, and Cyber-Physical Healthcare Systems in Assessing and Treating Patients with COVID-19 Symptoms

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, Colora...

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Veröffentlicht in:American journal of medical research (New York, N.Y.) N.Y.), 2021-10, Vol.8 (2), p.91-104
Hauptverfasser: Welch, Helen, Michalikova, Katarina Frajtova
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial intelligence
Bias
Coronaviruses
COVID-19
Data analysis
Disease transmission
Health and medicine and law
Internet of Things
Machine learning
Medical diagnosis
Medical equipment
Medical research
Medicine, Experimental
Monitoring systems
Pandemics
Physiological apparatus
Polls & surveys
Semiconductor industry
Statistical analysis
Telemedicine
Variables
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Zusammenfassung: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.
ISSN:2334-4814
2376-4481
DOI:10.22381/ajmr8220217