The use of artificial intelligence in reconstructive surgery for head and neck cancer: a systematic review.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 38662215

Abstract

OBJECTIVES: The popularity of artificial intelligence (AI) in head and neck cancer (HNC) management is increasing, but postoperative complications remain prevalent and are the main factor that impact prognosis after surgery. Hence, recent studies aim to assess new AI models to evaluate their ability to predict free flap complications more effectively than traditional algorithms. This systematic review aims to summarize current evidence on the utilization of AI models to predict complications following reconstructive surgery for HNC.

Authors

  • Cyril Devault-Tousignant
    Faculty of Medicine, McGill University, 3605 de la Montagne Street, Montreal, QC, H3G 2M1, Canada. Cyril.devault-tousignant@mail.mcgill.ca.
  • Myriam Harvie
    Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
  • Eric Bissada
    Division of Otolaryngology Head and Neck Surgery, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Apostolos Christopoulos
    Division of Otolaryngology Head and Neck Surgery, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Paul Tabet
    Division of Otolaryngology Head and Neck Surgery, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Louis Guertin
    Division of Otolaryngology Head and Neck Surgery, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
  • Houda Bahig
    Centre Hospitalier de l'Université de Montréal, 1051 Rue Sanguinet, Montreal, QC, H2X 3E4, Canada.
  • Tareck Ayad
    Division of Otolaryngology Head and Neck Surgery, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.

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