The Prominence of Artificial Intelligence in COVID-19
MD Abdullah Al Nasim, Aditi Dhali, Faria Afrin, Noshin Tasnim Zaman,, Nazmul Karimm, Md Mahim Anjum Haque

TL;DR
This survey reviews how artificial intelligence, especially machine and deep learning, has been utilized for early, cost-effective COVID-19 diagnosis, highlighting datasets, methodologies, and research challenges.
Contribution
It provides a comprehensive analysis of AI methodologies, datasets, and adoption trends in COVID-19 diagnosis research, emphasizing the role of machine and deep learning techniques.
Findings
High adoption of machine learning over deep learning in COVID-19 research
Various datasets are used for AI-based COVID-19 diagnosis
Challenges include data availability and model accuracy
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…
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Taxonomy
TopicsCOVID-19 diagnosis using AI
