Artificial intelligence in otolaryngology: current status and future perspectives

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Ignacio Vargas V.
Irma Cisternas P.
Michelle Viscaíno S.
Fernando Auat-Cheein
Paul Délano R.
Juan C. Maass O
Matías Talamilla P.

Keywords

Artificial intelligence, otolaryngology, automatic diag¬nosis, machine learning

Abstract

Artificial intelligence has a long history full of innovations that have resulted in different high-performance diagnostic resources cu- rrently available. This work has reviewed the artificial intelligence definition and its applications to medicine. We focused our review on otolaryngology’s specialty to inform the medical community of the importance and the most relevant applications in the different diagnostic processes. We include an analysis of the current state of artificial intelligence in otolaryngology in Chile, and the challenges to be faced in the future to use artificial intelligence into daily me­dical practice.

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