From Hype To Reality: A Narrative Review on the Promising Role of Artificial Intelligence in Larynx Cancer Detection and Transoral Microsurgery.


Journal

Critical reviews in oncogenesis
ISSN: 0893-9675
Titre abrégé: Crit Rev Oncog
Pays: United States
ID NLM: 8914610

Informations de publication

Date de publication:
2023
Historique:
medline: 16 11 2023
pubmed: 16 11 2023
entrez: 16 11 2023
Statut: ppublish

Résumé

Early larynx cancer detection plays a crucial role in improving treatment outcomes and recent studies have shown promising results in using artificial intelligence for larynx cancer detection. Artificial intelligence also has the potential to enhance transoral larynx microsurgery. This narrative review summarizes the current evidence regarding its use in larynx cancer detection and potential applications in transoral larynx microsurgery. The utilization of artificial intelligence in larynx cancer detection with white light endoscopy and narrow-band imaging helps improve diagnostic accuracy and efficiency. It can also potentially enhance transoral larynx microsurgery by aiding surgeons in real-time decision-making and minimizing the risk of complications. However, further prospective studies are warranted to validate the findings, and additional research is necessary to optimize the integration of artificial intelligence in our clinical practice.

Identifiants

pubmed: 37968989
pii: 52b4a9bc5c9ba950,30e0faab2d620bd5
doi: 10.1615/CritRevOncog.2023049134
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

21-24

Auteurs

Sara Bassani (S)

Otolaryngology-Head and Neck Surgery Department, University of Verona, Verona, Italy.

Ying Ki Lee (YK)

Head and Neck Surgery Department, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.

Valentina Campagnari (V)

Unit of Otorhinolaryngology- Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Albino Eccher (A)

Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy.

Daniele Monzani (D)

Otolaryngology-Head and Neck Surgery Department, University of Verona, Verona, Italy.

Riccardo Nocini (R)

Otolaryngology-Head and Neck Surgery Department, University of Verona, Verona, Italy.

Luca Sacchetto (L)

Otolaryngology-Head and Neck Surgery Department, University of Verona, Verona, Italy.

Gabriele Molteni (G)

Department of Otorhinolaryngology, Head and Neck Surgery, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.

Classifications MeSH