Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram.

Journal: Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology
Published Date: Mar 30, 2023

Abstract

INTRODUCTION: Pulmonary embolism (PE) is a life-threatening condition, in which diagnostic uncertainty remains high given the lack of specificity in clinical presentation. It requires confirmation by computed tomography pulmonary angiography (CTPA). Electrocardiography (ECG) signals can be detected by artificial intelligence (AI) with precision. The purpose of this study was to develop an AI model for predicting PE using a 12-lead ECG.

Authors

  • Beatriz Valente Silva
    Cardiology Department, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Portugal. Electronic address: beatrizsilvaee@gmail.com.
  • João Marques
    INESC-ID/Instituto Superior Técnico, Universidade de Lisboa, Portugal.
  • Miguel Nobre Menezes
    Structural and Coronary Heart Disease Unit, Cardiovascular Center of the University of Lisbon, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal; Serviço de Cardiologia, Departamento de Coração e Vasos, CHULN Hospital de Santa Maria, Lisboa, Portugal. Electronic address: mnmenezes.gm@gmail.com.
  • Arlindo L Oliveira
  • Fausto J Pinto
    Faculty of Medicine, University of Lisbon, Lisbon, Portugal.

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