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arXiv · 2204.03849

Prediction of COVID-19 using chest X-ray images

Narayana Darapaneni·Suma Maram·Harpreet Singh·Syed Subhani·Mandeep Kour·Sathish Nagam·Anwesh Reddy Paduri
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Abstract

COVID-19, also known as Novel Coronavirus Disease, is a highly contagious disease that first surfaced in China in late 2019. SARS-CoV-2 is a coronavirus that belongs to the vast family of coronaviruses that causes this disease. The sickness originally appeared in Wuhan, China in December 2019 and quickly spread to over 213 nations, becoming a global pandemic. Fever, dry cough, and tiredness are the most typical COVID-19 symptoms. Aches, pains, and difficulty breathing are some of the other symptoms that patients may face. The majority of these symptoms are indicators of respiratory infections and lung abnormalities, which radiologists can identify. Chest x-rays of COVID-19 patients seem similar, with patchy and hazy lungs rather than clear and healthy lungs. On x-rays, however, pneumonia and other chronic lung disorders can resemble COVID-19. Trained radiologists must be able to distinguish between COVID-19 and an illness that is less contagious. Our AI algorithm seeks to give doctors a quantitative estimate of the risk of deterioration. So that patients at high risk of deterioration can be triaged and treated efficiently. The method could be particularly useful in pandemic hotspots when screening upon admission is important for allocating limited resources like hospital beds.

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Narayana Darapaneni, Suma Maram, Harpreet Singh, Syed Subhani, Mandeep Kour, Sathish Nagam, Anwesh Reddy Paduri. 2022-04-08. Prediction of COVID-19 using chest X-ray images. https://arxiv.org/abs/2204.03849

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