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血管外科医生的人工智能

Artificial intelligence for the vascular surgeon.

作者信息

Asaadi Sina, Martins Kevin N, Lee Mary M, Pantoja Joe Luis

机构信息

Veterans Administration Loma Linda Healthcare System, 11201 Benton Street, Mail Code 112, Loma Linda, CA 92357.

Loma Linda University, School of Medicine, Loma Linda, CA.

出版信息

Semin Vasc Surg. 2023 Sep;36(3):394-400. doi: 10.1053/j.semvascsurg.2023.05.001. Epub 2023 May 27.

Abstract

In recent years, artificial intelligence (AI) has permeated different aspects of vascular surgery to solve challenges in clinical practice. Although AI in vascular surgery is still in its early stages, there have been promising developments in its applications to vascular diagnosis, risk stratification, and outcome prediction. By establishing a baseline knowledge of AI, vascular surgeons are better equipped to use and interpret the data from these types of projects. This review aims to provide an overview of the fundamentals of AI and highlight its role in helping vascular surgeons overcome the challenges of clinical practice. In addition, we discuss the limitations of AI and how they affect AI applications.

摘要

近年来,人工智能(AI)已渗透到血管外科的各个方面,以解决临床实践中的挑战。尽管血管外科中的人工智能仍处于早期阶段,但其在血管诊断、风险分层和结果预测方面的应用已取得了令人鼓舞的进展。通过建立人工智能的基础知识,血管外科医生能更好地使用和解读这些类型项目的数据。本综述旨在概述人工智能的基本原理,并突出其在帮助血管外科医生克服临床实践挑战方面的作用。此外,我们还讨论了人工智能的局限性以及它们如何影响人工智能的应用。

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