[人工智能结合CT放射组学在慢性阻塞性肺疾病中的应用]。

R Y Wang, W Sun, Z J Luo, J Wang
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引用次数: 0

摘要

随着CT成像越来越多地用于吸烟者肺结节的评估和肺癌的诊断和筛查,我们有更多的机会利用CT图像识别早期慢性阻塞性肺疾病(COPD)患者。此外,随着人工智能的不断进步,它不仅可以通过肺部CT扫描的分析帮助临床医生对COPD患者进行早期诊断和治疗,还可以帮助指导治疗策略。本文主要综述了人工智能结合CT放射组学在慢性阻塞性肺疾病诊治中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Application of artificial intelligence in combination with CT radiomics in chronic obstructive pulmonary disease].

As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screening of lung cancer in smokers, we have more opportunities to use CT images to identify patients with early-stage chronic obstructive pulmonary disease(COPD). Furthermore, with the continuous advancement of artificial intelligence, it can not only assist clinicians in the early diagnosis and treatment of COPD patients through the analysis of lung CT scans but also help guide treatment strategies. This article primarily reviewed the application of artificial intelligence combined with CT radiomics in the diagnosis and treatment of chronic obstructive pulmonary disease.

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