Artificial intelligence's role in vascular surgery decision-making

被引：4

作者：

Zarkowsky, Devin S. ^{[1
]}

Stonko, David P. ^{[2
]}

机构：

[1] Univ Colorado, Sch Med, Div Vasc Surg & Endovasc Therapy, 12615 E 17th Pl,AO1, Aurora, CO 80045 USA

[2] Johns Hopkins Univ Hosp, Dept Surg, Baltimore, MD 21287 USA

来源：

SEMINARS IN VASCULAR SURGERY | 2021年 / 34卷 / 04期

关键词：

QUALITY IMPROVEMENT PROGRAM; NEURAL-NETWORKS; ENDOVASCULAR REPAIR; OUTCOMES; PREDICT; DEATH; RISK;

D O I：

10.1053/j.semvascsurg.2021.10.005

中图分类号：

R61 [外科手术学];

学科分类号：

摘要：

Artificial intelligence (AI) is the next great advance informing medical science. Several dis-ciplines, including vascular surgery, use AI-based decision-making tools to improve clini-cal performance. Although applied widely, AI functions best when confronted with volu-minous, accurate data. Consistent, predictable analytic technique selection also challenges researchers. This article contextualizes AI analyses within evidence-based medicine, focus-ing on "big data" and health services research, as well as discussing opportunities to improve data collection and realize AI's promise. (c) 2021 Elsevier Inc. All rights reserved.

引用

页码：260 / 267

页数：8

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