Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project.

Journal: European stroke journal
Published Date:

Abstract

INTRODUCTION: Formulating reliable prognosis for ischemic stroke patients remains a challenging task. We aimed to develop an artificial intelligence model able to formulate in the first 24 h after stroke an individualized prognosis in terms of NIHSS.

Authors

  • Pietro Caliandro
    Unit of Neurology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Jacopo Lenkowicz
    Istituto di Radiologia, Universitá Cattolica del Sacro Cuore, Largo F.Vito 1, 00168 Rome, Italy.
  • Giuseppe Reale
    Unit of High Intensity Neurorehabilitation, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Simone Scaringi
    Ammagamma s.r.l. Via Sant'Orsola 33, Modena, Italy.
  • Aurelia Zauli
    Unit of Neurology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Christian Uccheddu
    Ammagamma s.r.l. Via Sant'Orsola 33, Modena, Italy.
  • Simone Fabiole-Nicoletto
    Ammagamma s.r.l. Via Sant'Orsola 33, Modena, Italy.
  • Stefano Patarnello
    Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Andrea Damiani
  • Luca Tagliaferri
    Unit of Radiotherapy, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Iacopo Valente
    Unit of Interventional Neuroradiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Marco Moci
    Department of Neurosciences, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Mauro Monforte
    Unitá Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy.
  • Vincenzo Valentini
    Agostino Gemelli University Polyclinic (IRCCS), Rome, Italy.
  • Paolo Calabresi
    Sezione di Malattie Infettive, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.