影像学技术对COVID-19诊断的影响

Q4 Medicine

Journal of Cardiovascular Disease Research Pub Date : 2021-01-01 DOI:10.31838/jcdr.2021.12.04.27

Mukesh Kuppusamy, Soubhi Zitouni, S. Subbaraman

{"title":"影像学技术对COVID-19诊断的影响","authors":"Mukesh Kuppusamy, Soubhi Zitouni, S. Subbaraman","doi":"10.31838/jcdr.2021.12.04.27","DOIUrl":null,"url":null,"abstract":"The outbreak of 2019-nCOV around the globe at an exponential transmission rate has led to the declaration of COVID-2019 as a Public Health Emergency of International Concern (PHEIC) by World Health Organization (WHO). It is caused by severe acute respiratory syndrome leading to lung infection eventually to death. Lung imaging provides insight about the extent of infection and adopt treatment accordingly even though a false positive in standard techniques such as RT-PCR and RAD tests. Hence, this review elaborates on the origin of nCoV-2019 and various radiological techniques to identify the rate of infection. Finally, the role of artificial intelligence in processing the lung images is outlinedalong with the combined effort by the individual, media and healthcare organization to substantially limit the outbreak","PeriodicalId":15222,"journal":{"name":"Journal of Cardiovascular Disease Research","volume":"12 1","pages":"218-226"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of radiological techniques in the diagnosis of COVID-19\",\"authors\":\"Mukesh Kuppusamy, Soubhi Zitouni, S. Subbaraman\",\"doi\":\"10.31838/jcdr.2021.12.04.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The outbreak of 2019-nCOV around the globe at an exponential transmission rate has led to the declaration of COVID-2019 as a Public Health Emergency of International Concern (PHEIC) by World Health Organization (WHO). It is caused by severe acute respiratory syndrome leading to lung infection eventually to death. Lung imaging provides insight about the extent of infection and adopt treatment accordingly even though a false positive in standard techniques such as RT-PCR and RAD tests. Hence, this review elaborates on the origin of nCoV-2019 and various radiological techniques to identify the rate of infection. Finally, the role of artificial intelligence in processing the lung images is outlinedalong with the combined effort by the individual, media and healthcare organization to substantially limit the outbreak\",\"PeriodicalId\":15222,\"journal\":{\"name\":\"Journal of Cardiovascular Disease Research\",\"volume\":\"12 1\",\"pages\":\"218-226\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiovascular Disease Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31838/jcdr.2021.12.04.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiovascular Disease Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31838/jcdr.2021.12.04.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}

引用次数: 0

摘要

2019-nCOV在全球以指数级传播速度爆发，导致世界卫生组织(世卫组织)宣布2019冠状病毒病为国际关注的突发公共卫生事件。它是由严重的急性呼吸系统综合症引起的，最终导致肺部感染死亡。即使在RT-PCR和RAD测试等标准技术中出现假阳性，肺部成像也可以了解感染的程度并采取相应的治疗。因此，本文详细介绍了新型冠状病毒-2019的来源和各种确定感染率的放射学技术。最后，概述了人工智能在处理肺部图像中的作用，以及个人、媒体和医疗机构的共同努力，以大大限制疫情的爆发

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Impact of radiological techniques in the diagnosis of COVID-19

The outbreak of 2019-nCOV around the globe at an exponential transmission rate has led to the declaration of COVID-2019 as a Public Health Emergency of International Concern (PHEIC) by World Health Organization (WHO). It is caused by severe acute respiratory syndrome leading to lung infection eventually to death. Lung imaging provides insight about the extent of infection and adopt treatment accordingly even though a false positive in standard techniques such as RT-PCR and RAD tests. Hence, this review elaborates on the origin of nCoV-2019 and various radiological techniques to identify the rate of infection. Finally, the role of artificial intelligence in processing the lung images is outlinedalong with the combined effort by the individual, media and healthcare organization to substantially limit the outbreak

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Cardiovascular Disease Research Medicine-Cardiology and Cardiovascular Medicine

自引率

0.00%

发文量