Table 2.

A list of relevant studies

Authors	Basic goal	Scope	Advantage	Limitation
Tiwari, Chanak [82]	Reviewing ML into COVID-19 diagnosis	ML methods in COVID-19	• Limitations are discussed	• There was not a thorough examination of the papers
Abumalloh, Nilashi [83]	Examining medical image processing and COVID-19 through the lens of bibliometric analysis	Image processing methods	• The article selection process is clear • The methods of image processing are discussed in detail	• There is no comparison between the articles
Liu, Lu [84]	Reviewing COVID-19 pandemic tactics using computational and structural biology	Structural biology and AI platforms	• Challenges and potential drug discovery issues are discussed	• There is no comparison between the papers
Saeed, Shah [85]	Examining COVID-19 patient monitoring with ML and non-contact sensing	COVID-19 patient monitoring	• Cover a large majority of the monitoring techniques	• Upcoming work is not mentioned in-depth
Subramanian, Elharrouss [90]	Reviewing COVID-19 lung image processing detection approaches	Lung image processing	• Methods for transfer learning and fine-tuning were offered • Providing a comparison study using a variety of assessment measures	• The paper selection method is not transparent • Upcoming work is not mentioned in-depth
Naudé [86]	Giving an early assessment of AI versus COVID-19	AI in general	• In COVID-19, several AI applications are presented	• There is a lack of clarity in the article selection process • Upcoming work is not mentioned in-depth
Vaishya, Javaid [87]	Giving a brief overview of AI applications for the COVID-19 epidemic	AI apps in COVID-19	• Several significant AI uses in the COVID-19 pandemic are discussed	• There is a lack of clarity in the article selection process • Upcoming work is not mentioned in-depth
Gulati [88]	Examining seven key AI applications for the COVID-19 epidemic	AI apps in COVID-19	• Discussing the primary uses of COVID-19 AI applications	• There is a lack of clarity in the article selection process • There was not a thorough examination of the papers
Nguyen, Nguyen [89]	Introducing AI methods in the battle against COVID-19	Considering technologies such as IoT and others, as well as their applications in COVID-19	• Several AI algorithms and DL applications are described	• Future works are not discussed • There is a lack of clarity in the article selection process
Ours	Examining ML methods and their applications in the management of the COVID-19 outbreak	All DL techniques and applications utilized in COVID-19 are covered	• Future works are discussed • There is clarity in the article selection process • There was a thorough examination of the papers	• Only state-of-the-art works are reviewed