基于人工智能的胸部 CT COVID-19 肺炎负荷量化方法

Imaging Pub Date : 2024-02-20 DOI:10.1556/1647.2024.00167
C. Nardocci, Judit Simon, B. Budai
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引用次数: 0

摘要

在冠状病毒病 2019(COVID-19)大流行期间,基于人工智能(AI)的胸部计算机断层扫描(CT)成像软件被证明在加速诊断和筛查方面发挥了重要作用。事实证明,所提出的基于人工智能的工具是指导患者管理和治疗方案的快速、可重复的技术。虽然没有具体的指南,但 CT 成像和临床特征被用于对患者进行分期。为了阐明在与 COVID-19 斗争中开发的人工智能技术的作用,本综述收集了有关在胸部 CT 成像中使用常用人工智能模型进行疾病量化和预后分析的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence-based quantification of COVID-19 pneumonia burden using chest CT
During the coronavirus disease 2019 (COVID-19) pandemic, artificial intelligence (AI) based software on chest computed tomography (CT) imaging has proven to have a valuable role in accelerating diagnosis and screening. The proposed AI-based tools proved to be rapid and reproducible techniques to guide patient management and treatment protocols. Although no specific guidelines exist, CT-imaging and clinical features are used for patient staging. To shed light on the role of AI techniques that have been developed in fighting COVID-19, in this review, studies investigating the usage of commonly used AI models on chest CT imaging for disease quantification and prognostication are collected.
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