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利用人工智能优化外周动脉疾病患者的护理。

Leveraging Artificial Intelligence to Optimize the Care of Peripheral Artery Disease Patients.

机构信息

Division of Vascular Surgery, Department of Surgery, Linda University School of Medicine, Loma Linda, CA.

Division of Vascular and Interventional Radiology, Department of Radiology, Linda University School of Medicine, Loma Linda, CA.

出版信息

Ann Vasc Surg. 2024 Oct;107:48-54. doi: 10.1016/j.avsg.2023.11.057. Epub 2024 Apr 4.

Abstract

Peripheral artery disease is a major atherosclerotic disease that is associated with poor outcomes such as limb loss, cardiovascular morbidity, and death. Artificial intelligence (AI) has seen increasing integration in medicine, and its various applications can optimize the care of peripheral artery disease (PAD) patients in diagnosis, predicting patient outcomes, and imaging interpretation. In this review, we introduce various AI applications such as natural language processing, supervised machine learning, and deep learning, and we analyze the current literature in which these algorithms have been applied to PAD.

摘要

外周动脉疾病是一种主要的动脉粥样硬化疾病,与肢体丧失、心血管发病率和死亡等不良结局相关。人工智能(AI)在医学中的应用日益增多,其各种应用可以优化外周动脉疾病(PAD)患者的诊断、预测患者预后和影像学解释的护理。在这篇综述中,我们介绍了自然语言处理、监督机器学习和深度学习等各种 AI 应用,并分析了这些算法在 PAD 中应用的现有文献。

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