Review Article

AIoT Used for COVID-19 Pandemic Prevention and Control

Table 2

Methods and results of remote screening mentioned.

AuthorsMethodsResultsFeatures

Schinköthe et al. [7]The cockpit (C19CC)Identifying telemedicine options, which can quickly improve patient careImproving care and safety for people with COVID-19
Tan and Liu [8]Facial recognition system using thermal imagingAbility to identify and track patientsHelping to control the spread of COVID-19
Hou et al. [10]Portable scanner + subspace multilayer networksAchieving test data accuracy of more than 96%Improving energy efficiency
Mulchandani et al. [11]The one-shot learning framework based on the Siamese networkDiagnosing coronavirus from tonsillitis effectively for mass-screeningUsed to detect susceptible patients at a very early stage
Chilipirea et al. [12]Scalable COVID-19 screening platformAbility to collect and analyze data for more than 200,000 people per minuteThe main feature being the use of distributed, lightweight design
Lonini et al. [4]Use of soft wearable devicesRapid screening for COVID-19Reducing the risk of pneumonia among healthcare workers