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Inteligência artificial: novas soluções para velhos problemas / Artificial intelligence and dysphagia: novel solutions to old problems
Department of Electrical and Computer EngineeringSEJDIĆ, Ervin; Department of Electrical and Computer EngineeringKHALIFA, Yassin; Department of Communication Science and DisordersMAHONEY, Amanda S; Department of Communication Science and DisordersCOYLE, James L.
  • Department of Electrical and Computer EngineeringSEJDIĆ, Ervin; University of Pittsburgh. Swanson School of Engineering. Department of Electrical and Computer EngineeringSEJDIĆ, Ervin. Pittsburgh. US
  • Department of Electrical and Computer EngineeringKHALIFA, Yassin; University of Pittsburgh. Swanson School of Engineering. Department of Electrical and Computer EngineeringKHALIFA, Yassin. Pittsburgh. US
  • Department of Communication Science and DisordersMAHONEY, Amanda S; University of Pittsburgh. School of Health and Rehabilitation Sciences. Department of Communication Science and DisordersMAHONEY, Amanda S. Pittsburgh. US
  • Department of Communication Science and DisordersCOYLE, James L; University of Pittsburgh. School of Health and Rehabilitation Sciences. Department of Communication Science and DisordersCOYLE, James L. Pittsburgh. US
Arq. gastroenterol ; 57(4): 343-346, Oct.-Dec. 2020. graf
Artículo en Inglés | LILACS | ID: biblio-1142341
ABSTRACT
ABSTRACT Dysphagia management, from screening procedures to diagnostic methods and therapeutic approaches, is about to change dramatically. This change is prompted not solely by great discoveries in medicine or physiology, but by advances in electronics and data science and close collaboration and cross-pollination between these two disciplines. In this editorial, we will provide a brief overview of the role of artificial intelligence in dysphagia management.
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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Inteligencia Artificial / Trastornos de Deglución Tipo de estudio: Estudio de etiología Límite: Humanos Idioma: Inglés Revista: Arq. gastroenterol Asunto de la revista: Gastroenterologia Año: 2020 Tipo del documento: Artículo País de afiliación: Estados Unidos Institución/País de afiliación: University of Pittsburgh/US

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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Inteligencia Artificial / Trastornos de Deglución Tipo de estudio: Estudio de etiología Límite: Humanos Idioma: Inglés Revista: Arq. gastroenterol Asunto de la revista: Gastroenterologia Año: 2020 Tipo del documento: Artículo País de afiliación: Estados Unidos Institución/País de afiliación: University of Pittsburgh/US