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

Richard Segall, Vidhya Sankarasubbu

OAI: oai:igi-global.com:313574 • DOI: 10.4018/IJAIML.313574

The purpose is to illustrate how artificial intelligence (AI) technologies have been used for detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and skin cancers; heart disease; and others. Specifically, the use of neural networks (NN) and machine learning (ML) are described along with which countries are creating these techniques and how these are being used for COVID-19 or other disease diagnosis and detection. Illustrations of multi-layer convolutional neural networks (CNN), recurrent neural networks (RNN), and deep neural networks (DNN) are provided to show how these are used for COVID-19 or other disease detection and prediction. A summary of big data analytics for COVID-19 and some available COVID-19 open-source data sets and repositories and their characteristics for research and analysis is also provided. An example is also shown for artificial intelligence (AI) and neural network (NN) applications using real-time COVID-19 data.