Machine learning algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review.

Journal: Minerva surgery
Published Date: Nov 21, 2023

Abstract

INTRODUCTION: Abdominal aortic aneurysm (AAA), often characterized by an abdominal aortic diameter over 3.0 cm, is managed through screening, surveillance, and surgical intervention. AAA growth can be heterogeneous and rupture carries a high mortality rate, with size and certain risk factors influencing rupture risk. Research is ongoing to accurately predict individual AAA growth rates for personalized management. Machine learning, a subset of artificial intelligence, has shown promise in various medical fields, including endoleak detection post-EVAR. However, its application for predicting AAA growth remains insufficiently explored, thus necessitating further investigation. Subsequently, this paper aims to summarize the current status of machine learning in predicting AAA growth.

Authors

  • Nazifa Ullah
    Faculty of Medicine, University College London, London, UK.
  • Wing Kiu Chou
    Norwich Medical School, University of East Anglia, Norwich, UK.
  • Robert Vardanyan
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Arian Arjomandi Rad
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Viraj Shah
    Department of Medicine, Faculty of Medicine, Imperial College London, London, UK.
  • Saeed Torabi
    Department of Anesthesiology and Intensive Care Medicine, University Hospital of Cologne, Cologne, Germany.
  • Dani Avavde
    Department of Vascular Surgery, Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • Arkady A Airapetyan
    Department of Research and Academia, National Institute of Health, Yerevan, Armenia.
  • Alina Zubarevich
    Department of Thoracic and Cardiovascular Surgery, West German Heart and Vascular Center Essen, University Hospital of Essen, University Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany. Electronic address: alina.zubarevich@gmail.com.
  • Alexander Weymann
    Department of Thoracic and Cardiovascular Surgery, West German Heart and Vascular Center Essen, University Hospital of Essen, University Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.
  • Arjang Ruhparwar
    Department of Thoracic and Cardiovascular Surgery, West German Heart and Vascular Center Essen, University Hospital of Essen, University Duisburg-Essen, Hufelandstraße 55, 45122, Essen, Germany.
  • George Miller
    Research Unit, The Healthcare Leadership Academy, London, UK.
  • Johann Malawana
    Research Unit, The Healthcare Leadership Academy, London, UK.

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