Artificial Intelligence in Temporal Bone Imaging: A Systematic Review.

Journal: The Laryngoscope
PMID: 39352072

Abstract

OBJECTIVE: The human temporal bone comprises more than 30 identifiable anatomical components. With the demand for precise image interpretation in this complex region, the utilization of artificial intelligence (AI) applications is steadily increasing. This systematic review aims to highlight the current role of AI in temporal bone imaging.

Authors

  • Dimitrios Spinos
    South Warwickshire NHS Foundation Trust, Warwick, UK.
  • Anastasios Martinos
    National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
  • Dioni-Pinelopi Petsiou
    National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
  • Nina Mistry
    Gloucestershire Hospitals NHS Foundation Trust, ENT, Head and Neck Surgery, Gloucester, UK.
  • George Garas
    Department of Otorhinolaryngology and Head and Neck Surgery, St. Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdomg.garas@imperial.ac.uk.

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