Preliminary data on artificial intelligence tool in magnetic resonance imaging assessment of degenerative pathologies of lumbar spine.

Journal: La Radiologia medica
PMID: 38349415

Abstract

PURPOSE: To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist evaluation as a gold standard.

Authors

  • Vincenza Granata
    Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy.
  • Roberta Fusco
    Radiology Division, 'Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale', via Mariano Semmola 53, 80131 Naples, Italy. Electronic address: r.fusco@istitutotumori.na.it.
  • Simone Coluccino
    Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
  • Carmela Russo
    Unit of Neuroradiology, Department of Neurosciences, Santobono-Pausilipon Children's Hospital, Naples, Italy.
  • Francesca Grassi
    Institute Pasteur-Cenci Bolognetti Foundation, Dept. Physiology and Pharmacology, Sapienza University of Rome, Rome, 00185, Italy.
  • Fabio Tortora
    Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Renata Conforti
    Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.
  • Ferdinando Caranci
    Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy.

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