Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Journal: Annals of vascular surgery
PMID: 39580028

Abstract

BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered risk calculator in predicting intraoperative neurologic deficits (INDs).

Authors

  • 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 Daniela Pias
    Faculdade de Medicina e Ciências Biomédicas da Universidade do Algarve, Faro, Portugal.
  • Luís Duarte-Gamas
    Department of Angiology and Vascular Surgery, Tâmega e Sousa Local Health Unit, Penafiel, Portugal.
  • Piotr Myrcha
    1st Chair and Department of General and Vascular Surgery, Faculty of Medicine, Medical University of Warsaw, Warsaw, Poland; Department of General, Vascular and Oncological Surgery, Masovian Brodnowski Hospital, Warsaw, Poland.
  • José P Andrade
    CINTESIS@RISE, RISE-Health, Unit of Research, Porto, Portugal; Department of Biomedicine - Unit of Anatomy, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
  • Nuno António
    NOVA Information Management School (NOVA IMS), Universidade NOVA de Lisboa, Lisbon, Portugal.
  • Ana Marreiros
    aculdade de Medicina e Ciências Biomédicas, Universidade do Algarve, Faro, 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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