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

Journal: Angiology
Published Date: Oct 21, 2025

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.

Authors

  • Jia Guo
    Department of Radiology, Stanford University, Stanford, CA, USA.
  • Fabien Lareyre
    Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France; Department of Vascular Surgery, University Hospital of Nice, Nice, France.
  • Regent Lee
    Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
  • Martin Teraa
    Department of Vascular Surgery, University Medical Center Utrecht, The Netherlands.
  • Herve Delingette
  • Juliette Raffort
    Clinical Chemistry Laboratory, University Hospital of Nice, Nice, France; Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France. Electronic address: [email protected].

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