Ignacio Vargas V.
Escuela de Medicina, Facultad de Medicina, Universidad de Chile. Santiago, Chile.
Irma Cisternas P.
Escuela de Medicina, Facultad de Medicina, Universidad de Chile. Santiago, Chile.
Michelle Viscaíno S.
departamento de Electrónica, Universidad Técnica Federico Santa María. Valparaíso, Chile.
Fernando Auat-Cheein
departamento de Electrónica, Universidad Técnica Federico Santa María. Valparaíso, Chile.
Paul Délano R.
Centro Avanzado de Ingeniería Eléctrica y Electrónica, Universidad Técnica Federico Santa María. Valparaíso, Chile.
Juan C. Maass O
Programa Interdisciplinario de Fisiología y Biofísica, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile. Santiago, Chile. departamento de Cirugía, Unidad de Otorrinolaringología, Clínica Alemana de Santiago, Universidad del Desarrollo. Santiago, Chile
Matías Talamilla P.
Escuela de Medicina, Facultad de Medicina, Universidad de Chile. Santiago, Chile.
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.
Abstract