APPLICATION OF DEEPLEARNING TECHNIQUES FOR COVID-19 DIAGNOSIS AND TREATMENT

Abstract: Covid-19 is an ongoing worldwide pandemic caused by severe acute respiratory syndrome coronavirus (Covid). The virus was first identified in late December 2019 in Wuhan China. As of (01/Jul/2021) 183 million people were infected with the Covid -19 and encountered moderate to severe respiratory sickness, 3.9 million died of this infection. Elderly people, adults, kids, and those with underlying medical conditions heart disease, diabetes, chronic respiratory disease, and cancer are at high risk of developing serious illnesses from covid-19. The current scenario documented the Multiple variants of the virus that causes Covid-19 which spreads faster than usual and remains a high threat to mankind. Despite the high-risk covid-19 variant, numerous ongoing clinical trials for diagnosis and treatment of coronavirus infection have been involved to treat the Patients. The current clinical trial tools are time-consuming, staggering a high cost, and requiring a well-equipped laboratory for analysis. Fast diagnostic methods can control, prevent the spread of covid-19 variants and reduce the workload of the physicians to better manage the patients. A computed tomography scan (CT) is the fastest method to diagnose patients with covid-19 variants. Nevertheless, the radiologist's performance is moderate in diagnosing the virus and time-consuming due to the overwhelmed patients. Discern the impact of covid-19 threats, computer science researchers have started using artificial intelligence techniques to detect the presence of covid-19 infection using CT scan. This study furnishes an elaborate response with various Deep Learning (DL) techniques of Artificial intelligence to combat the novel coronavirus. Furthermore, this study can improve the performance of introduced techniques towards the best responses in practical applications Keywords Covid -19, Computed Tomography scan, Deep Learning, Artificial Intelligence.