人工智能在 Covid-19 大流行期间普通胸片判读中的作用。

BJR open Pub Date : 2022-05-26 eCollection Date: 2022-01-01 DOI:10.1259/bjro.20210075
Dana AlNuaimi, Reem AlKetbi
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引用次数: 0

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,从通过提供准确诊断、预后和治疗为医生提供临床协助,到开发疫苗和协助抗击 Covid-19 全球流行病。人工智能在放射诊断方面发挥着重要作用,其算法可以通过大量数据集进行训练,从而准确及时地对所提供的放射图像进行诊断。因此,我们开发了几种人工智能算法,在当前大流行病期间,这些算法可用于放射科医生稀缺的地区,只需在普通胸片上指出 PCR 阳性患者是否患有 Covid-19 肺炎,并通过加快报告提交时间,帮助负担过重的放射科减轻负担。胸部X光平片是急诊科最常见的放射学检查方法,它方便、快捷、便宜,可用于分流病人,也可在内科病房随身携带,可用作 Covid-19 阳性病人的初步放射学检查,以检测肺炎病变。已有许多研究将几种人工智能算法与经验丰富的胸科放射医师的普通胸片报告进行了比较,以衡量每种算法在 Covid-19 患者中的准确性。大多数研究报告称,在预测所提供的胸片中是否存在 Covid-19 肺炎病变方面,人工智能算法的性能与经验丰富的胸部放射科医生相当或更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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