Artificial Intelligence and Pediatric Otolaryngology.

Artificial intelligence ChatBot Education technology Machine learning Neural network Patient education Pediatric otolaryngology

Journal

Otolaryngologic clinics of North America

ISSN: 1557-8259

Titre abrégé: Otolaryngol Clin North Am

Pays: United States

ID NLM: 0144042

Informations de publication

Date de publication:
19 Jul 2024

Historique:

medline: 21 7 2024

pubmed: 21 7 2024

entrez: 20 7 2024

Statut: aheadofprint

Résumé

Artificial intelligence (AI) studies show how to program computers to simulate human intelligence and perform data interpretation, learning, and adaptive decision-making. Within pediatric otolaryngology, there is a growing body of evidence for the role of AI in diagnosis and triaging of acute otitis media and middle ear effusion, pediatric sleep disorders, and syndromic craniofacial anomalies. The use of automated machine learning with robotic devices intraoperatively is an evolving field of study, particularly in the realms of pediatric otologic surgery and computer-aided planning for maxillofacial reconstruction, and we will likely continue seeing novel applications of machine learning in otolaryngologic surgery.

Identifiants

DOI: 10.1016/j.otc.2024.04.011 PMID: 39033065

pubmed: 39033065

pii: S0030-6665(24)00069-0

doi: 10.1016/j.otc.2024.04.011

pii:

doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

Informations de copyright

Déclaration de conflit d'intérêts

Disclosure None.