Reviewing the trend of health artificial intelligence technology in COVID-19 pandemic prevention

Abstract

Abstract: The novel coronavirus pneumonia originated in Wuhan, China, in December 2019, and it then spread rapidly into many countries around the world in the beginning of 2020. By June 2020, more than 7 million people had been infected and more than 400,000 people died, thus making it a global disaster. With the development of science and technology, the Internet has evolved to a 5G bandwidth, and the application of i-cloud computing technology has also matured. Moreover, big data and artificial intelligence (AI) have also become mainstream approaches for epidemic prevention, and they have been integrated into the practical application of various medical services and quarantine measures in epidemic prevention efforts. Many research and development teams have invested vast resources to improve technology and its application, resulting in numerous suitable AI products for epidemic prevention. Epidemic prevention is quite challenging because it is necessary to avoid contact with other people to prevent virus transmission, reduce environmental pollution and air transmission, and strictly control the medical service process, all of which will affect the quality of medical treatment to varying degrees. The continued integration of health artificial intelligence (HAI) and medical-related technologies will greatly aid in future efforts to end the COVID-19 pandemic.

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