Understanding basic principles of Artificial Intelligence: a practical guide for intensivists.

Journal: Acta bio-medica : Atenei Parmensis
Published Date: Oct 26, 2022

Abstract

BACKGROUND AND AIM: Artificial intelligence was born to allow computers to learn and control their environment, trying to imitate the human brain structure by simulating its biological evolution. Artificial intelligence makes it possible to analyze large amounts of data (big data) in real-time, providing forecasts that can support the clinician's decisions. This scenario can include diagnosis, prognosis, and treatment in anesthesiology, intensive care medicine, and pain medicine. Machine Learning is a subcategory of AI. It is based on algorithms trained for decisions making that automatically learn and recognize patterns from data. This article aims to offer an overview of the potential application of AI in anesthesiology and analyzes the operating principles of machine learning Every Machine Learning pathway starts from task definition and ends in model application.

Authors

  • Valentina Bellini
    Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
  • Marco Cascella
    Department of Medicine, Surgery and Dentistry, University of Salerno, 84081, Baronissi, Italy.
  • Franco Cutugno
    . cutugno@unina.it.
  • Michele Russo
    Fondazione Centri di Riabilitazione Padre Pio Onlus, San Giovanni Rotondo, Foggia, Italy.
  • Roberto Lanza
    . roberto.lanza88@gmail.com.
  • Christian Compagnone
    . ccompagnone@gmail.com.
  • Elena Giovanna Bignami
    Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.

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