Coronary physiology instantaneous wave-free ratio (iFR) derived from x-ray angiography using artificial intelligence deep learning models: a pilot study.

Journal: The Journal of invasive cardiology
Published Date: Mar 1, 2024

Abstract

OBJECTIVES: Coronary angiography (CAG)-derived physiology methods have been developed in an attempt to simplify and increase the usage of coronary physiology, based mostly on dynamic fluid computational algorithms. We aimed to develop a different approach based on artificial intelligence methods, which has seldom been explored.

Authors

  • 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.
  • João Lourenço Silva
    INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal; 4Neuralshift Inc., Lisboa, Portugal.
  • Beatriz Silva
    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.
  • Rita Marante de Oliveira
    Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
  • Tiago Rodrigues
    BioMachines Lab, Lisbon, Portugal.
  • Arlindo L Oliveira
  • Fausto J Pinto
    Faculty of Medicine, University of Lisbon, Lisbon, Portugal.

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