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长新冠诊断:从诊断到先进的人工智能驱动模型。

Long-COVID diagnosis: From diagnostic to advanced AI-driven models.

机构信息

Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato, s.s. 554 Monserrato, Cagliari 09045, Italy.

Department of Pathology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Italy.

出版信息

Eur J Radiol. 2022 Mar;148:110164. doi: 10.1016/j.ejrad.2022.110164. Epub 2022 Jan 19.

Abstract

SARS-COV 2 is recognized to be responsible for a multi-organ syndrome. In most patients, symptoms are mild. However, in certain subjects, COVID-19 tends to progress more severely. Most of the patients infected with SARS-COV2 fully recovered within some weeks. In a considerable number of patients, like many other viral infections, various long-lasting symptoms have been described, now defined as "long COVID-19 syndrome". Given the high number of contagious over the world, it is necessary to understand and comprehend this emerging pathology to enable early diagnosis and improve patents outcomes. In this scenario, AI-based models can be applied in long-COVID-19 patients to assist clinicians and at the same time, to reduce the considerable impact on the care and rehabilitation unit. The purpose of this manuscript is to review different aspects of long-COVID-19 syndrome from clinical presentation to diagnosis, highlighting the considerable impact that AI can have.

摘要

SARS-COV 2 被认为是一种多器官综合征的病原体。在大多数患者中,症状较轻。然而,在某些患者中,COVID-19 往往会更严重地发展。大多数感染 SARS-COV2 的患者在数周内完全康复。在相当数量的患者中,与许多其他病毒感染一样,已经描述了各种持久的症状,现在被定义为“长 COVID-19 综合征”。鉴于全球范围内的高传染性,有必要了解和理解这种新兴的病理学,以便进行早期诊断和改善患者的预后。在这种情况下,基于人工智能的模型可以应用于长 COVID-19 患者,以协助临床医生,同时减轻对护理和康复单元的巨大影响。本文的目的是从临床表达到诊断,回顾长 COVID-19 综合征的不同方面,强调人工智能可能产生的巨大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac10/8791239/51fb113d03c8/gr1_lrg.jpg

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