Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture.

IF 2.7 3区 医学 Q2 PERIPHERAL VASCULAR DISEASE
Angiology Pub Date : 2026-10-01 Epub Date: 2025-10-21 DOI:10.1177/00033197251379127
Jia Guo, Fabien Lareyre, Regent Lee, Martin Teraa, Hervé Delingette, Juliette Raffort
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引用次数: 0

Abstract

Artificial intelligence (AI) and machine learning (ML) are emerging tools in the management of abdominal aortic aneurysms (AAA). They have offered new tools to develop advanced imaging analysis and prediction models. This narrative review summarizes studies exploring AI/ML models to evaluate the risk of AAA growth and rupture. We provide an overview and critical analysis on methodology used, identify current limits and propose future directions for research and implementation in surgical practice.

人工智能和机器学习在腹主动脉瘤生长和破裂风险预测中的应用。
人工智能(AI)和机器学习(ML)是腹主动脉瘤(AAA)治疗的新兴工具。他们为开发先进的成像分析和预测模型提供了新的工具。本文综述了人工智能/机器学习模型用于评估AAA生长和破裂风险的研究。我们对所使用的方法进行概述和批判性分析,确定当前的限制,并提出未来在外科实践中研究和实施的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Angiology
Angiology 医学-外周血管病
CiteScore
5.50
自引率
14.30%
发文量
180
审稿时长
6-12 weeks
期刊介绍: A presentation of original, peer-reviewed original articles, review and case reports relative to all phases of all vascular diseases, Angiology (ANG) offers more than a typical cardiology journal. With approximately 1000 pages per year covering diagnostic methods, therapeutic approaches, and clinical and laboratory research, ANG is among the most informative publications in the field of peripheral vascular and cardiovascular diseases. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 13 days
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