Artificial intelligence in otorhinolaryngology: a scoping review of diagnostic, surgical, and rehabilitative applications

Abstract Background Artificial intelligence (AI) has increasingly permeated otorhinolaryngology (ENT), offering novel tools for diagnosis, surgical planning, and rehabilitation. Despite rapid technological advances, a comprehensive synthesis of AI applications across the subspecialties of otology, r...

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Autores principales:	Wan-Ling Lin, Sheng-Han Chen, Shih-Shuan Fang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SpringerOpen 2026-07-01
Colección:	The Egyptian Journal of Otolaryngology
Materias:	Artificial intelligence Otorhinolaryngology Deep learning Machine learning Head and neck surgery Scoping review
Acceso en línea:	https://doi.org/10.1186/s43163-026-01169-2
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