A Survey on COVID-19 Diagnosis from CT and X-ray Scans using Artificial Intelligence Methods

The Coronavirus 2019 (COVID19) epidemic causes many deaths and the World Health Organization (WHO) has declared it as 'a global pandemic". Millions of people are still affected by this virus every day. Since the standard reverse transcription polymerase chain reaction (RTPCR) test for COVID19 is not cost effective, scientists are trying to use artificial intelligence systems to use medical imaging (such as X-rays and computed tomography (CT)) to detect automatically identify this type of disease. Artificial intelligence systems involve very promising machines and deep learning methods. These X-ray and CT imaging procedures simplify the accurate diagnosis of COVID19. This article details the machine and deep learning methods used for chest X-rays and CT scans to identify the severity of COVID-19. In addition, it compares its efficiency in terms of benefits and limitations to suggest future improvements and to avoid a global outbreak of COVID19.