Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
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DOI：
10.1161/circresaha.121.318224
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发表时间：
2021-06-11
影响因子：
20.1
通讯作者：
Ross EG
中科院分区：
文献类型：
--
作者：
Flores AM;Demsas F;Leeper NJ;Ross EG
外周动脉疾病（PAD）是一种动脉粥样硬化性疾病，当存在时，预示着患者预后不良。诊断率低导致管理不善，导致肢体丧失和心血管疾病发病率和死亡率过高。机器学习算法和人工智能系统在医疗保健的许多领域都显示出巨大的应用前景，例如准确检测疾病，预测患者结果和自动化图像解释。虽然这些技术在PAD上的应用还处于起步阶段，但它们的前景是巨大的。在这篇综述中，我们介绍了机器学习和人工智能领域的重要概念，详细介绍了这些技术如何应用于PAD的现状，并讨论了未来通过高级分析增强护理的潜在领域。
Peripheral artery disease (PAD) is an atherosclerotic disorder, that when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learning algorithms and artificially intelligent systems have shown great promise in application to many areas in healthcare, such as accurately detecting disease, predicting patient outcomes, and automating image interpretation. Though the application of these technologies to PAD are in their infancy, their promises are tremendous. In this review, we provide an introduction to important concepts in the fields of machine learning and artificial intelligence, detail the current state of how these technologies have been applied to PAD, and discuss potential areas for future care enhancement with advanced analytics.