Artificial intelligence, big data and heart transplantation: Actualities.

Journal: International journal of medical informatics
Published Date: Aug 1, 2023

Abstract

BACKGROUND: As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx), allocation opportunities, correct treatments, and finally optimize HTx outcome. We explored available studies, and discussed opportunities and limits of medical application of AI to the field of HTx.

Authors

  • Vittorio Palmieri
    Department of Cardiovascular Surgery and Transplant, Azienda dei Colli, Monaldi Hospital, 80131 Naples, Italy.
  • Andrea Montisci
    Division of Cardiothoracic Intensive Care, Cardiothoracic Department, ASST Spedali Civili, Brescia, Italy.
  • Maria Teresa Vietri
    Department of Precision Medicine, "Luigi Vanvitelli" University of Campania School of Medicine, Naples, Italy.
  • Paolo C Colombo
    Milstein Division of Cardiology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
  • Silvia Sala
    Chair of Anesthesia and Intensive Care, University of Brescia, Brescia, Italy.
  • Ciro Maiello
    Department of Cardiovascular Surgery and Transplant, Azienda dei Colli, Monaldi Hospital, 80131 Naples, Italy.
  • Enrico Coscioni
    Division of Cardiac Surgery, AOU San Giovanni di Dio e Ruggid'Aragona, 84131 Salerno, Italy.
  • Francesco Donatelli
    Department of Cardiac Surgery, Istituto Clinico Sant'Ambrogio, Milan, Italy; Chair of Cardiac Surgery, University of Milan, Milan, Italy.
  • Claudio Napoli
    Clinical Department of Internal Medicine and Specialistics, Department of Advanced Clinical and Surgical Sciences, University of Campania "Luigi Vanvitelli".

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