As the world grapples with COVID-19 in the 21st century, we all have realized that even after the advancements in healthcare facilities over the years, the state of public health is still a concern. Interestingly, advanced technological concepts, such as artificial intelligence (AI), combined with the power of machine learning, big data and IoT has helped healthcare professionals and researchers in the healthcare industry significantly to tackle the crisis of COVID-19. On the other hand, in the fight against COVID-19, several organizations have been quick to apply their expertise of machine learning as well as in collaborating with the healthcare professionals and the researchers in the healthcare industry for the early detection and diagnosis of the infection and to speed up the process of developing the vaccine for COVID-19.
Applications of Artificial Intelligence (AI) in COVID-19 Pandemic
The research report titled “Artificial Intelligence (AI) Applications for COVID-19 Pandemic”, which was published in the research depository of the National Center for Biotechnology Information (NCBI) of the U.S. National Library of Medicine, briefly described the general procedure of artificial intelligence and non-artificial intelligence-based applications that helped general physicians to identify the symptoms of COVID-19. Moreover, the research also focused on how artificial intelligence (AI) significantly helped in the steps for the treatment of COVID-19 by increasing accuracy of disease analysis, reducing complexity as well as the time taken for treatment of the disease.
Overview of the Application of AI by General Physicians for COVID-19
Source: Artificial Intelligence Applications for COVID-19 Pandemic (NCBI)
On the other hand, based on the recent advancements and applications of AI, the primary applications in the healthcare sector where artificial intelligence (AI) is used widely can be stated as follows:
The crisis situation can be classified into four stages based on the functional characteristics of the tasks performed, namely, the detection stage, prevention stage, response to the crisis, and lastly, recovery from the crisis. Several types of organizations, irrespective of their size, are finding out new ways to use the technology across these four stages.
The Path Ahead
It is inspiring to observe and learn how technology can play an important role in the healthcare industry. On the other hand, it is also interesting to understand how fast organizations are transforming themselves from conventional healthcare systems to applying advanced technologies, such as artificial learning, to address the global pandemic crisis. Undoubtedly, it is also to be believed that the pandemic has paved significant opportunities associated with deploying advanced technologies in the healthcare industry.
About Saurav Dutta
Saurav Dutta is a budding content writer with experience in developing quality content related to the market research industry. He tries to portray his thoughts and ideas into words that help readers from different sectors to experience a seamless perusal.
