Advances in the application of artificial intelligence in peripheral arterial disease

VernacularTitle:人工智能在外周动脉疾病中的应用研究进展
Author: Hongcheng REN ¹ ; Zuoguan CHEN ; Yongjun LI
Author Information

1. 北京医院/国家老年医学中心/中国医学科学院老年医学研究院血管外科,北京100730;中国科学院大学医学院,北京101408;航天中心医院介入血管科,北京 100049
Publication Type:Journal Article
Keywords: Artificial Intelligence; Peripheral Arterial Disease; Machine Learning; Deep Learning; Natural Language Processing; Review
From: Chinese Journal of General Surgery 2024;33(12):2062-2068
CountryChina
Language:Chinese
Abstract: Peripheral arterial disease (PAD) is associated with a high risk of mortality and amputation. However,many PAD patients remain asymptomatic or present with atypical symptoms,leading to low awareness and diagnostic rates. With an aging population and the increasing prevalence of risk factors,the burden of PAD is expected to grow. Artificial intelligence (AI),encompassing machine learning,deep learning,natural language processing,and computer vision,refers to machines and algorithms capable of simulating human intelligence and performing human-like tasks. Although the application of AI in PAD is still in its early stages,its potential is substantial. This article reviews the current clinical applications and limitations of AI in the management of PAD patients.