Nanophotonic sensors and AI for a new possible approach for accurate diagnosis of salivary glands tumors: a technical note.

Journal: Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Published Date: Apr 8, 2025

Abstract

Currently, diagnosing salivary gland tumors in their early stages presents significant challenges. This paper aims to outline a feasibility analysis of a novel approach utilizing advanced nanophotonic sensors and AI to address these diagnostic issues. The proposed approach integrates new nanophotonic sensors to tackle the complexities encountered in the early detection of salivary gland tumors. By leveraging these cutting-edge sensors, we seek to offer a potential solution to the existing diagnostic problems associated with identifying these tumors at their initial stages.

Authors

  • Luigi Califano
  • Manlio Galiè
    Department of Cranio-Maxillofacial Surgery, Unit of Cranio-Maxillofacial Surgery, University of Ferrara, Italy. Electronic address: glm@unife.it.
  • Giovanni Salzano
    Head and Neck Section, Department of Neurosciences, Reproductive and Odontostomatological Science, Federico II University of Naples, Naples, Italy.
  • Alberto Cuocolo
    Department of Advanced Biomedical Sciences, University Hospital of Naples 'Federico II', Naples, Italy.
  • Stefania Staibano
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
  • Paola Bonavolontà
    Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Via Sergio Pansini 5, Naples 80131, Italy.
  • Andrea Cusano
    Optoelectronic Division-Engineering Department, University of Sannio, Benevento, 82100, Italy.
  • Giovanni Breglio
    Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125, Napoli, Italy.
  • Maria Alessandra Cutolo
    Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125, Napoli, Italy.
  • Valeria Gaudieri
    Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
  • Antonio Iele
    Optoelectronic Division-Engineering Department, University of Sannio, Benevento, 82100, Italy.
  • Gennaro Ilardi
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
  • Francesco Merolla
    Department of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, Italy.
  • Marco Pisco
    Optoelectronic Division-Engineering Department, University of Sannio, Benevento, 82100, Italy.
  • Armando Ricciardi
    Optoelectronic Division-Engineering Department, University of Sannio, Benevento, 82100, Italy.
  • Sara Spaziani
    Optoelectronic Division-Engineering Department, University of Sannio, Benevento, 82100, Italy.
  • Antonello Cutolo
    Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125, Napoli, Italy.
  • Giovanni Dell'Aversana Orabona

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