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科学进步通过人工智能在支气管镜检查下区分不同类型的气道支架

Chongxiang Chen^1,2, Yingnan Zuo³, Jingyu Liu⁴

¹Guangzhou Development District Hospital, Guangzhou Huangpu District People's Hospital, Guangzhou, China.

Science progress

|August 1, 2025

概括

人工智能 (AI) 可以从支气管镜像中准确识别气道支架类型. 这项技术有望提高临床实践中的质量控制.

科学领域:

医疗成像医学成像
人工智能在医学中的应用
肺部病理学肺部病理学

背景情况:

气道支架对于管理各种呼吸道疾病至关重要.
准确识别支架类型对于正确的安置和患者护理至关重要.
通过标准支气管镜检查,区分不同类型的支气管 (例如,,金属覆盖,Y形) 可能具有挑战性.

研究的目的:

利用人工智能 (AI) 用支气管镜像识别不同类型的气道支架.
开发和验证人工智能模型,根据视觉特征对气道支架进行分类.

主要方法:

一个视觉转换器模型在来自662名患者的1254张支气管镜图像上受过训练.
人工智能模型被训练来识别三种主要的支架类型:T形,全和全金属覆盖.
进一步验证评估了AI区分Y形与非Y形和金属覆盖支架的能力.

主要成果:

人工智能模型在识别三个主要支架类型时实现了98.5%的平均准确性.
单个精度为T形的93.3%,所有的98.4%,所有金属覆盖支架的100%.
识别Y形和Y形金属覆盖支架的准确率分别为95.5%和100%.

结论:

人工智能技术可以有效地从支气管镜像中区分各种气道支架类型.
开发的AI模型显示出高精度和提高临床环境质量控制的潜力.
这种AI应用程序可以帮助确保在手术过程中选择和放置正确的支架.

关键词:

人工智能的人工智能是人工智能.支气管镜检查 (bronchoscopy) 是一种用来检查支气管的方法.深度学习是一种深度学习.模型模型模型模型模型模型支架支架是一种支架.

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