Alsharif, Mohammed H.Alsharif, Yahia H.Chaudhry, Shehzad AshrafAlbreem, Mahmoud A. M.Jahid, AbuHwang, Eenjun2023-08-172023-08-1720201128-3602https://hdl.handle.net/11363/5362https://doi.org/Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. In this study, the early diagnosis of this disease through artificial intelligence (AI) technology is explored. AI is a revolutionizing technology that drives new research opportunities in various fields. Although this study does not provide a final solution, it highlights the most promising lines of research on AI technology for the diagnosis of COVID-19. The major contribution of this work is a discussion on the following substantial issues of AI technology for preventing the severe effects of COVID-19: (1) rapid diagnosis and detection, (2) outbreak and prediction of virus spread, and (3) potential treatments. This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19.eninfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 United StatesArtificial intelligenceCoronavirus pandemicAICOVID-19Machine learningBig dataArticle24179226923310.26355/eurrev_202009_22875329650182-s2.0-85091587499Q2WOS:000569313100081Q2