Artificial intelligence and "the Art of Kintsugi" in Anesthesiology: ten influential papers for clinical users.

Journal: Minerva anestesiologica
Published Date:

Abstract

Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the present review we chose ten influential papers from the last five years and through Kintsugi, shed the light on recent evolution of artificial intelligence in anesthesiology. A comprehensive search in in Medline, Embase, Web of Science and Scopus databases was conducted. Each author searched the databases independently and created a list of six articles that influenced their clinical practice during this period, with a focus on their area of competence. During a subsequent step, each researcher presented his own list and most cited papers were selected to create the final collection of ten articles. In recent years purely methodological works with a cryptic technology (black-box) represented by the intact and static vessel, translated to a "modern artificial intelligence" in clinical practice and comprehensibility (glass-box). The purposes of this review are to explore the ten most cited papers about artificial intelligence in anesthesiology and to understand how and when it should be integrated in clinical practice.

Authors

  • Valentina Bellini
    Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
  • Michele Russo
    Fondazione Centri di Riabilitazione Padre Pio Onlus, San Giovanni Rotondo, Foggia, Italy.
  • Roberto Lanza
    . roberto.lanza88@gmail.com.
  • Tania Domenichetti
    Unit of Anesthesiology, Division of Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Christian Compagnone
    . ccompagnone@gmail.com.
  • Salvatore M Maggiore
    Department of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy.
  • Gianmaria Cammarota
    Department of Anesthesia and Intensive Care Medicine, University of Perugia, Perugia, Italy.
  • Paolo Pelosi
    Department of Surgical Sciences and Integrated Diagnostics, Ospedale Policlinico San Martino, IRCCS for Oncology, University of Genoa, Genoa, Italy.
  • Luigi Vetrugno
    Department of Medicine, Anesthesia and Intensive Care Clinic, University of Udine, Udine, Italy.
  • Elena G Bignami
    Unit of Anesthesiology, Division of Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy - elenagiovanna.bignami@unipr.it.