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人工智能在新冠疫情期间胸部X线平片解读中的作用。

The role of artificial intelligence in plain chest radiographs interpretation during the Covid-19 pandemic.

作者信息

AlNuaimi Dana, AlKetbi Reem

机构信息

Westford University-UCAM, Sharjah, United Arab Emirates.

Dubai Health Authority, Dubai, United Arab Emirates.

出版信息

BJR Open. 2022 May 26;4(1):20210075. doi: 10.1259/bjro.20210075. eCollection 2022.

Abstract

Artificial intelligence (AI) plays a crucial role in the future development of all healthcare sectors ranging from clinical assistance of physicians by providing accurate diagnosis, prognosis and treatment to the development of vaccinations and aiding in the combat against the Covid-19 global pandemic. AI has an important role in diagnostic radiology where the algorithms can be trained by large datasets to accurately provide a timely diagnosis of the radiological images given. This has led to the development of several AI algorithms that can be used in regions of scarcity of radiologists during the current pandemic by simply denoting the presence or absence of Covid-19 pneumonia in PCR positive patients on plain chest radiographs as well as in helping to levitate the over-burdened radiology departments by accelerating the time for report delivery. Plain chest radiography is the most common radiological study in the emergency department setting and is readily available, fast and a cheap method that can be used in triaging patients as well as being portable in the medical wards and can be used as the initial radiological examination in Covid-19 positive patients to detect pneumonic changes. Numerous studies have been done comparing several AI algorithms to that of experienced thoracic radiologists in plain chest radiograph reports measuring accuracy of each in Covid-19 patients. The majority of studies have reported performance equal or higher to that of the well-experienced thoracic radiologist in predicting the presence or absence of Covid-19 pneumonic changes in the provided chest radiographs.

摘要

人工智能(AI)在所有医疗保健领域的未来发展中都发挥着至关重要的作用,从通过提供准确的诊断、预后和治疗来协助医生临床工作,到疫苗研发以及助力抗击新冠疫情。人工智能在诊断放射学中具有重要作用,其算法可以通过大量数据集进行训练,从而准确地对给定的放射影像及时做出诊断。这促使了多种人工智能算法的开发,这些算法在当前疫情期间放射科医生短缺的地区也能发挥作用,比如通过在普通胸部X光片上简单判定PCR阳性患者是否存在新冠病毒肺炎,还能通过加快报告交付时间来减轻负担过重的放射科的压力。普通胸部X光检查是急诊科最常见的放射学检查方法,它随时可用、速度快且成本低,可用于对患者进行分诊,在病房也便于携带,并且可作为新冠病毒阳性患者检测肺部变化的初步放射学检查。已经开展了大量研究,将多种人工智能算法与经验丰富的胸科放射科医生在普通胸部X光片报告中对新冠患者的诊断准确性进行比较。大多数研究报告称,在预测所提供的胸部X光片中是否存在新冠病毒肺炎变化方面,人工智能算法的表现与经验丰富的胸科放射科医生相当甚至更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5290/9459850/320fdb867ebd/bjro.20210075.g001.jpg

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