Infrared image method for possible COVID-19 detection through febrile and subfebrile people screening.

ABSTRACT: This study proposed an infrared image-based method for febrile and subfebrile people screening to comply with the society need for alternative, quick response, and effective methods for COVID-19 contagious people screening. The methodology consisted of: (i) Developing a method based on facial infrared imaging for possible COVID-19 early detection in people with and without fever (subfebrile state); (ii) Using 1206 emergency room (ER) patients to develop an algorithm for general application of the method, and (iii) Testing the method and algorithm effectiveness in 2558 cases (RT-qPCR tested for COVID-19) from 227,261 workers evaluations in five different countries. Artificial intelligence was used through a convolutional neural network (CNN) to develop the algorithm that took facial infrare

SUBMITTER: Brioschi ML 

PROVIDER: S-EPMC9794388 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature