应用人工智能对新冠肺炎患者进行临床评估和管理

R. Phalnikar, S. Dixit, Harsha V. Talele
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引用次数: 0

摘要

新冠病毒引起的新冠肺炎感染已被宣布为国际关注的大流行病和突发公共卫生事件。冠状病毒引起的感染以前已经在人身上被发现,并已知会导致中东呼吸综合征(MERS)和严重急性呼吸综合征。与早期的感染不同,新冠肺炎19的传播速度惊人,有关该病毒的科学知识的经验和数量很少,缺乏证据。为了应对这场危机,人工智能(AI)承诺在理解和应对新冠肺炎危机方面发挥关键作用。识别感染、分析、治疗以及预测感染阶段往往是有价值的。人工智能算法可以应用于新冠肺炎的诊断和加强研究和治疗。本文介绍了新冠肺炎患者的详细流程图,并讨论了人工智能在各个阶段的使用。该论文的初步贡献是确定人工智能及其相关领域的使用可以帮助管理新冠肺炎患者的阶段,并为未来的系统研究铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Assessment and Management of Covid-19 Patients using Artificial Intelligence
The COVID-19 infection caused by Novel Corona Virus has been declared a pandemic and a public health emergency of international concern. Infections caused by Corona Virus have been previously recognized in people and is known to cause Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Unlike the earlier infections, COVID19 spreads alarmingly and the experience and volume of the scientific knowledge on the virus is small and lacks substantiation. To manage this crisis, Artificial intelligence (AI) promises to play a key role in understanding and addressing the COVID-19 crisis. It tends to be valuable to identify the infection, analyse it, treat it and also predict the stages of infection. Artificial intelligence algorithms can be applied to make diagnosis of COVID-19 and stepping up research and therapy. The paper explains a detailed flowchart of COVID-19 patient and discusses the use of AI at various stages. The preliminary contribution of the paper is in identifying the stages where the use of Artificial Intelligence and its allied fields can help in managing COVID-19 patient and paves a road for systematic research in future.
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