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Artificial intelligence, machine learning, and deep learning in rhinology: a systematic review.
Bulfamante, Antonio Mario; Ferella, Francesco; Miller, Austin Michael; Rosso, Cecilia; Pipolo, Carlotta; Fuccillo, Emanuela; Felisati, Giovanni; Saibene, Alberto Maria.
Afiliación
  • Bulfamante AM; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Ferella F; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Miller AM; Ohio University Heritage College of Osteopathic Medicine, Dublin, OH, USA.
  • Rosso C; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Pipolo C; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Fuccillo E; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Felisati G; Department of Clinical Sciences and Translational Medicine, Università degli Studi di Roma Tor Vergata, Rome, Italy.
  • Saibene AM; Otolaryngology Unit, Santi Paolo e Carlo Hospital, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
Eur Arch Otorhinolaryngol ; 280(2): 529-542, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36260141
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Eur Arch Otorhinolaryngol Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Eur Arch Otorhinolaryngol Asunto de la revista: OTORRINOLARINGOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia