Application of AI in urolithiasis risk of infection: a scoping review.

Journal: Minerva urology and nephrology
PMID: 38920010

Abstract

INTRODUCTION: Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis.

Authors

  • Davide Campobasso
    Urology Unit, University Hospital of Parma, Parma, Italy - d.campobasso@virgilio.it.
  • Matteo Panizzi
    Anesthesiology, Intensive Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, 43126, Italy.
  • Valentina Bellini
    Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
  • Stefania Ferretti
    Department of Urology, Azienda Ospedaliero-Universitaria di Modena, Italy.
  • Daniele Amparore
    Division of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Daniele Castellani
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.
  • Cristian Fiori
    Division of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Stefano Puliatti
    Urology Department, University of Modena and Reggio Emilia, Modena, Italy.
  • Amelia Pietropaolo
    Department of Urology, University Hospital Southampton, Tremona Road, Southampton, UK.
  • Bhaskar K Somani
    University Hospital Southampton NHS Trust, Southampton, Hampshire, UK.
  • Salvatore Micali
    Department of Urology. University of Modena and Reggio Emilia. Modena. Italy.
  • Francesco Porpiglia
    Division of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Umberto V Maestroni
    Urology Unit, University Hospital of Parma, Parma, 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.

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