Machine learning and artificial intelligence in cardiac transplantation: A systematic review.

Journal: Artificial organs
Published Date: Sep 1, 2022

Abstract

BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges identified we aim to provide a series of recommendations and a knowledge base for future research in the field of ML and heart transplantation.

Authors

  • Vinci Naruka
    Department of Cardiothoracic Surgery, Imperial College NHS Trust, Hammersmith Hospital, London, UK.
  • Arian Arjomandi Rad
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Hariharan Subbiah Ponniah
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Jeevan Francis
    Faculty of Medicine, University of Edinburgh, Edinburgh, UK.
  • Robert Vardanyan
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Panagiotis Tasoudis
    Department of Cardiothoracic Surgery, University Hospital Thessaly, Larissa, Greece.
  • Dimitrios E Magouliotis
    Department of Cardiothoracic Surgery, University Hospital Thessaly, Larissa, Greece.
  • George L Lazopoulos
    Department of Cardiothoracic Surgery, University Hospital Thessaly, Larissa, Greece.
  • Mohammad Yousuf Salmasi
    Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
  • Thanos Athanasiou

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