论文标题

使用胸部X射线图像预测COVID-19

Prediction of COVID-19 using chest X-ray images

论文作者

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

论文摘要

Covid-19,也称为新型冠状病毒病,是一种高度传染性的疾病,于2019年底首次在中国出现。SARS-COV-2是冠状病毒,属于巨大的冠状病毒家族,导致这种疾病。疾病最初于2019年12月出现在中国武汉,迅速传播到213个国家,成为全球大流行。发烧,干性咳嗽和疲倦是最典型的Covid-19症状。疼痛,疼痛和呼吸困难是患者可能面临的其他症状。这些症状大多数是放射科医生可以识别的呼吸道感染和肺部异常的指标。 Covid-19患者的胸部X射线似乎相似,肺部斑驳和朦胧,而不是清晰健康的肺。然而,在X射线上,肺炎和其他慢性肺部疾病可能类似于Covid-19。训练有素的放射科医生必须能够区分1900-19和传染性疾病。我们的AI算法试图对医生进行恶化风险的定量估计。因此,可以有效地将处于高劣化风险的患者进行分解和治疗。当入院时进行筛查对于分配有限的医院病床等资源时,该方法在大流行热点中可能特别有用。

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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