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Artificial Intelligence Methods for Rapid Vascular Access Aneurysm Classification in Remote or In-Person Settings

机译：用于快速血管进入的人工智能方法在遥控器中或偏远地区设置中的动脉瘤分类

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Background: Innovations in artificial intelligence (AI) have proven to be effective contributors to high-quality health care. We examined the beneficial role AI can play in noninvasively grading vascular access aneurysms to reduce high-morbidity events, such as rupture, in ESRD patients on hemodialysis. Methods: Our AI instrument noninvasively examines and grades aneurysms in both arteriovenous fistulas and arteriovenous grafts. Aneurysm stages were adjudicated by 3 vascular specialists, based on a grading system that focuses on actions that need to be taken. Our automatic classification of aneurysms builds on 2 components: (a) the use of smartphone technology to capture aneurysm appearance and (b) the analysis of these images using a cloud-based convolutional neural network (CNN). Results: There was a high degree of correlation between our noninvasive AI instrument and the results of the adjudication by the vascular experts. Our results indicate that CNN can automatically classify aneurysms. We achieved a >90% classification accuracy in the validation images. Conclusion: This is the first quality improvement project to show that an AI instrument can reliably grade vascular access aneurysms in a noninvasive way, allowing rapid assessments to be made on patients who would otherwise be at risk for highly morbid events. Moreover, these AI-assisted assessments can be made without having to schedule separate appointments and potentially even via telehealth.
机译：背景：人工智能（AI）的创新已被证明是高质量保健的有效贡献者。我们研究了有益的作用，AI可以在血液透析血液透析患者中​​减少血管内血管接入动脉瘤的非侵入性分级血管进入动脉瘤。方法：我们的AI仪器在动脉静脉曲张瘘和动脉啮合移植物中无血液诊断和患有动脉瘤。基于针对需要采取的行动的分级系统，在3个血管专家判决动脉瘤阶段。我们的动脉瘤自动分类在2个组件上建立：（a）使用智能手机技术捕获动脉瘤外观和（b）使用基于云的卷积神经网络（CNN）对这些图像的分析。结果：我们的非侵入性AI仪器与血管专家的裁决结果之间存在高度相关性。我们的结果表明，CNN可以自动分类动脉瘤。我们在验证图像中实现了> 90％的分类准确性。结论：这是第一个质量改进项目，以表明AI仪器可以以非侵入性方式可靠地血管接入动脉瘤，允许对患者进行快速评估，否则会有高度病态的风险。此外，这些AI辅助评估可以进行，而无需安排单独的约会，甚至可能通过远程医疗。

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