Abstract
Recent worldwide pandemic flare-up, Coronavirus disease (Covid-19), an infectious disease that is caused by novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Early diagnosis is the only way to control Covid-19 during this difficult situation. There are many methodologies currently available to test and diagnose Covid-19. For the etiologic diagnosis of this viral infection, standard molecular test such as real-time reverse transcription polymerase chain reaction (rRT-PCR) assay plays a vital role in which nasal swab, bronchoalveolar lavage samples or tracheal aspirate can be used. To identify the mutation in SARS-CoV-2 genome, nucleic acid sequencing can be done. Molecular tests and serological assays can intensify SARS-CoV-2 diagnosis. However, supply shortages of test kits, possibility of false-negative results and consumes up to 48 h to render the results and this may delay the isolation of suspected cases or there will be a chance of spreading infection to others. Artificial Intelligence (AI) has high potential to analyze huge amount of clinical data in a minimal amount of time and contributes a large impact to handle this pandemic outbreak. This technology has been widely used in the field of radiology and medical imaging for research and development. Nowadays, AI plays a significant role in medical sciences by detecting or diagnosing various diseases as early as possible and even helps in treating the diseases. In this context, we highlight how AI technology is used in the medical diagnosis and in the early prediction of Covid-19 infection. We extracted data from various research reports, WHO guidelines and other articles. It is important for the readers to know that new data is updated nearly every hour regarding the diagnosis, treatment strategies and outcomes of the disease.
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Janarthanan, S., Rajendran, M., Biju, T.S., Ravi, N., Sundaramoorthy, K., Nandan Mohanty, S. (2021). Artificial Intelligence (AI) Combined with Medical Imaging Enables Rapid Diagnosis for Covid-19. In: Nandan Mohanty, S., Saxena, S.K., Satpathy, S., Chatterjee, J.M. (eds) Applications of Artificial Intelligence in COVID-19 . Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-15-7317-0_4
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