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影像学与人工智能在 COVID-19 感染评估中的作用:全面综述。

Role of Imaging and AI in the Evaluation of COVID-19 Infection: A Comprehensive Survey.

机构信息

Applied Theoretical Physics Research Group, Physics Department, Faculty of Science, Mansoura University, 35516 Mansoura, Egypt.

BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY 40292, USA.

出版信息

Front Biosci (Landmark Ed). 2022 Sep 30;27(9):276. doi: 10.31083/j.fbl2709276.

DOI:10.31083/j.fbl2709276
PMID:36224026
Abstract

Coronavirus disease 2019 (COVID-19) is a respiratory illness that started and rapidly became the pandemic of the century, as the number of people infected with it globally exceeded 253.4 million. Since the beginning of the pandemic of COVID-19, over two years have passed. During this hard period, several defies have been coped by the scientific society to know this novel disease, evaluate it, and treat affected patients. All these efforts are done to push back the spread of the virus. This article provides a comprehensive review to learn about the COVID-19 virus and its entry mechanism, its main repercussions on many organs and tissues of the body, identify its symptoms in the short and long terms, in addition to recognize the role of diagnosis imaging in COVID-19. Principally, the quick evolution of active vaccines act an exceptional accomplishment where leaded to decrease rate of death worldwide. However, some hurdels still have to be overcome. Many proof referrers that infection with CoV-19 causes neurological dis function in a substantial ratio of influenced patients, where these symptoms appear severely during the infection and still less is known about the potential long term consequences for the brain, where Loss of smell is a neurological sign and rudimentary symptom of COVID-19. Hence, we review the causes of olfactory bulb dysfunction and Anosmia associated with COVID-19, the latest appropriate therapeutic strategies for the COVID-19 treatment (e.g., the ACE2 strategy and the Ang II receptor), and the tests through the follow-up phases. Additionally, we discuss the long-term complications of the virus and thus the possibility of improving therapeutic strategies. Moreover, the main steps of artificial intelligence that have been used to foretell and early diagnose COVID-19 are presented, where Artificial intelligence, especially machine learning is emerging as an effective approach for diagnostic image analysis with performance in the discriminate diagnosis of injuries of COVID-19 on multiple organs, comparable to that of human practitioners. The followed methodology to prepare the current survey is to search the related work concerning the mentioned topic from different journals, such as Springer, Wiley, and Elsevier. Additionally, different studies have been compared, the results are collected and then reported as shown. The articles are selected based on the year (i.e., the last three years). Also, different keywords were checked (e.g., COVID-19, COVID-19 Treatment, COVID-19 Symptoms, and COVID-19 and Anosmia).

摘要

新型冠状病毒病(COVID-19)是一种呼吸道疾病,它迅速成为本世纪的大流行病,因为感染该病毒的人数在全球范围内已超过 2.534 亿。自 COVID-19 大流行开始以来,已经过去了两年多。在这段艰难的时期,科学界应对了几个挑战,以了解这种新型疾病,对其进行评估并治疗受影响的患者。所有这些努力都是为了阻止病毒的传播。本文提供了全面的综述,以了解 COVID-19 病毒及其进入机制,其对身体许多器官和组织的主要影响,识别其短期和长期症状,以及认识诊断成像在 COVID-19 中的作用。主要是,快速开发的活性疫苗起到了特殊的作用,使全球死亡率降低。然而,仍有一些障碍需要克服。许多证据表明,感染 CoV-19 会导致受影响患者中相当比例的神经功能障碍,这些症状在感染期间严重出现,而对于大脑的潜在长期后果知之甚少,嗅觉丧失是 COVID-19 的神经症状和基本症状。因此,我们综述了嗅球功能障碍和与 COVID-19 相关的嗅觉丧失的原因,COVID-19 的最新适当治疗策略(例如 ACE2 策略和 Ang II 受体),以及通过随访阶段进行的测试。此外,我们讨论了病毒的长期并发症,从而有可能改善治疗策略。此外,介绍了用于预测和早期诊断 COVID-19 的人工智能的主要步骤,人工智能,尤其是机器学习,作为一种有效的方法,在 COVID-19 对多个器官的损伤的鉴别诊断中的性能,可与人类医生媲美。目前综述的准备方法是从不同的期刊(例如 Springer、Wiley 和 Elsevier)搜索有关该主题的相关工作。此外,对不同的研究进行了比较,收集了结果并进行了报告。文章是根据年份(即最近三年)选择的。还检查了不同的关键字(例如 COVID-19、COVID-19 治疗、COVID-19 症状和 COVID-19 与嗅觉丧失)。

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