Applications of artificial intelligence for patients with peripheral artery disease.

Journal: Journal of vascular surgery
Published Date:

Abstract

OBJECTIVE: Applications of artificial intelligence (AI) have been reported in several cardiovascular diseases but its interest in patients with peripheral artery disease (PAD) has been so far less reported. The aim of this review was to summarize current knowledge on applications of AI in patients with PAD, to discuss current limits, and highlight perspectives in the field.

Authors

  • Fabien Lareyre
    Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France; Department of Vascular Surgery, University Hospital of Nice, Nice, France.
  • Christian-Alexander Behrendt
    Research Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
  • Arindam Chaudhuri
    Bedfordshire-Milton Keynes Vascular Centre, Bedfordshire Hospitals NHS Foundation Trust, Bedford, UK.
  • Regent Lee
    Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
  • Marion Carrier
    Laboratory of Applied Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, Paris, France.
  • Cédric Adam
    Laboratory of Applied Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, Paris, France.
  • Cong Duy Lê
    Department of Vascular Surgery, 70607Hospital of Antibes Juan-les-Pins, Nice, France.
  • Juliette Raffort
    Clinical Chemistry Laboratory, University Hospital of Nice, Nice, France; Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France. Electronic address: juliette.raffort@hotmail.fr.