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人工智能工具在新冠病毒肺炎患者气胸检测与管理中的临床应用

Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19.

作者信息

Hunter Joshua G, Pierce Jonathan D, Gilkeson Robert C, Bera Kaustav, Gupta Amit

机构信息

Radiology, Case Western Reserve University School of Medicine, Cleveland, USA.

Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA.

出版信息

Cureus. 2023 Jul 26;15(7):e42509. doi: 10.7759/cureus.42509. eCollection 2023 Jul.

Abstract

In this report, we present a series involving critically ill patients with known coronavirus disease (COVID-19) infection where a portable X-ray machine equipped with artificial intelligence (AI) software aided in the urgent radiographic diagnosis of pneumothorax. These cases demonstrate how real-world clinical employment of AI tools capable of analyzing and prioritizing studies in the radiologist's worklist can potentially lead to earlier detection of emergent findings like pneumothorax. The use of AI tools in this manner has the potential to both improve radiology workflow and add significant clinical value in managing critically ill patient populations, such as those with severe COVID-19 infection.

摘要

在本报告中,我们介绍了一系列已知感染冠状病毒病(COVID-19)的重症患者,其中一台配备人工智能(AI)软件的便携式X光机辅助进行了气胸的紧急影像学诊断。这些病例表明,能够在放射科医生的工作列表中分析并对检查进行优先级排序的人工智能工具在实际临床应用中,有可能更早地发现气胸等紧急情况。以这种方式使用人工智能工具,有可能改善放射科工作流程,并在管理重症患者群体(如患有严重COVID-19感染的患者)方面增加显著的临床价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116e/10457148/87dfa78baa98/cureus-0015-00000042509-i01.jpg

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