The Prominence of Artificial Intelligence in COVID-19
release_repcv3sd4nccjijjtjjrsmggum
by
MD Abdullah Al Nasim, Aditi Dhali, Faria Afrin, Noshin Tasnim Zaman, Nazmul Karim
2021
Abstract
In December 2019, a novel virus called COVID-19 had caused an enormous number
of causalities to date. The battle with the novel Coronavirus is baffling and
horrifying after the Spanish Flu 2019. While the front-line doctors and medical
researchers have made significant progress in controlling the spread of the
highly contiguous virus, technology has also proved its significance in the
battle. Moreover, Artificial Intelligence has been adopted in many medical
applications to diagnose many diseases, even baffling experienced doctors.
Therefore, this survey paper explores the methodologies proposed that can aid
doctors and researchers in early and inexpensive methods of diagnosis of the
disease. Most developing countries have difficulties carrying out tests using
the conventional manner, but a significant way can be adopted with Machine and
Deep Learning. On the other hand, the access to different types of medical
images has motivated the researchers. As a result, a mammoth number of
techniques are proposed. This paper first details the background knowledge of
the conventional methods in the Artificial Intelligence domain. Following that,
we gather the commonly used datasets and their use cases to date. In addition,
we also show the percentage of researchers adopting Machine Learning over Deep
Learning. Thus we provide a thorough analysis of this scenario. Lastly, in the
research challenges, we elaborate on the problems faced in COVID-19 research,
and we address the issues with our understanding to build a bright and healthy
environment.
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