Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases

Machine Learning And Covid-19

Machine learning (ML) is based on the premise that an intelligent machine should be able to learn and adapt from its environment based on its experiences without being explicitly programmed. The availability of open-source data sets with COVID-19 data allows the experimentation of using machine learning techniques and deep neural networks for the prediction and diagnosis of COVID-19 using Computed Tomography (CT) scans and x-rays. CT scans show detailed images of any part of the body, including the bones, muscles, fat, organs and blood vessels.

Shuja et al. (2020) provided a comprehensive survey of open-source data sets that included categories of biomedical images, textual, and speech data. As COVID-19 test kits are in short supply, medical image-based diagnosis provides an alternative method of COVID-19 diagnosis. According to Shuja et al. (2020), the combination of artificial intelligence (AI) and open-source data sets practical solution for COVID-19 diagnosis that can be implemented in hospitals worldwide.

According to the World Health Organization (WHO) (2020) some of the leading hospitals across the world are utilizing artificial intelligence and machine learning algorithms to diagnose COVID-19 cases using Computed Tomography (CT) scans and X-ray images.

Rao and Vazuez (2020) showed that identification of COVID-19 can be quicker through artificial intelligence framework with use of machine learning algorithm when used with a mobile phone-based survey when cities and towns are under quarantine.