Image-based Artificial Intelligence models in the diagnosis and classification of vascular anomalies of the soft tissue in the head and neck.

Journal: Computer methods and programs in biomedicine
PMID: 39622122

Abstract

BACKGROUND: The International Society for the Study of Vascular Anomalies (ISSVA) provides a detailed classification system to facilitate accurate diagnosis and management of these conditions based on clinical criteria, imaging, and histopathological findings. This review aims to systematically present the state of the art in Artificial Intelligence (AI) applications for the diagnosis, classification, and treatment planning of vascular anomalies affecting the soft tissues of the head and neck region.

Authors

  • Riccardo Nocini
    Unit of Otorhinolaryngology, Head & Neck Department, University of Verona, Verona, Italy.
  • Maria Chiara Brunese
    Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100, Campobasso, Italy.
  • Beatrice Mascarin
    Department of Radiology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy.
  • Nicolò Cardobi
    Department of Radiology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy.
  • Riccardo De Robertis
    Department of Radiology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy.
  • Mirko D'Onofrio
    Department of Radiology, G.B. Rossi Hospital, University of Verona, 37134 Verona, Italy.

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