Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

Journal: Portuguese journal of cardiac thoracic and vascular surgery
PMID: 39820882

Abstract

INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events and ischemic strokes. With carotid stenosis (CS) being a primary concern, accurate diagnosis, clinical staging, and timely surgical interventions, such as carotid endarterectomy (CEA), are crucial. This review explores the impact of Artificial Intelligence (AI) and Machine Learning (ML) in improving diagnosis, risk stratification, and management of CS.

Authors

  • Ana Daniela Pias
    Faculdade de Medicina e Ciências Biomédicas da Universidade do Algarve, Faro, Portugal.
  • Juliana Pereira-Macedo
    Department of General Surgery - Unidade Local de Saúde do Médio Ave, Santo Tirso, Portugal; RISE@Health, Rua Dr. Plácido da Costa, Porto, Portugal.
  • Ana Marreiros
    aculdade de Medicina e Ciências Biomédicas, Universidade do Algarve, Faro, Portugal.
  • Nuno António
    NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisbon, Portugal.
  • João Rocha-Neves
    RISE@Health, Rua Dr. Plácido da Costa, Porto, Portugal; Department of Biomedicine - Unit of Anatomy, Faculdade de Medicina da Universidade do Porto, Portugal.

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