Artificial Intelligence in Vascular Diseases: From Clinical Practice to Medical Research and Education

被引：0

作者：

Lareyre, Fabien ^{[1
,2
,3
]}

Raffort, Juliette ^{[3
,4
,5
]}

机构：

[1] Hosp Antibes Juan Les Pins, Dept Vasc Surg, 107 Ave Nice, F-06600 Antibes, France

[2] Univ Cote Azur, CNRS, UMR7370, LP2M, Nice, France

[3] Federat Hosp Univ FHU Plan & Go, Nice, France

[4] Univ Cote Azur, Inst Cote Azur 3IA, Nice, France

[5] Univ Hosp Nice, Clin Chem Lab, Nice, France

来源：

ANGIOLOGY | 2025年

关键词：

artificial intelligence; machine learning; predictive model; vascular disease; aortic disease; peripheral artery disease; carotid stenosis; ABDOMINAL AORTIC-ANEURYSM; MACHINE; MORTALITY; IDENTIFICATION; PREDICTION; SYSTEMS; FUTURE; REPAIR;

D O I：

10.1177/00033197251324630

中图分类号：

R6 [外科学];

学科分类号：

1002 ; 100210 ;

摘要：

Artificial Intelligence (AI) has brought new opportunities in medicine, with a great potential to improve care provided to patients. Given the technical complexity and continuously evolving field, it can be challenging for vascular specialists to anticipate and foresee how AI will shape their practice. The aim of this review is to provide an overview of the current landscape of applications of AI in clinical practice for the management of non-cardiac vascular diseases including aortic aneurysm, peripheral artery disease, carotid stenosis, and venous diseases. The review describes and highlights how AI has the potential to shape the three pillars in the management of vascular diseases including clinical practice, medical research and education. In the limelight of these results, we show how AI should be considered and developed within a responsible ecosystem favoring transdisciplinary collaboration, where multiple stake holders can work together to face current challenges and move forward future directions.

引用

页数：20

共 102 条

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