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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
Article in English | 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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Full text: Available Index: LILACS (Americas) Main subject: Artificial Intelligence / Deglutition Disorders Type of study: Etiology study Limits: Humans Language: English Journal: Arq. gastroenterol Journal subject: Gastroenterology Year: 2020 Type: Article Affiliation country: United States Institution/Affiliation country: University of Pittsburgh/US

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Full text: Available Index: LILACS (Americas) Main subject: Artificial Intelligence / Deglutition Disorders Type of study: Etiology study Limits: Humans Language: English Journal: Arq. gastroenterol Journal subject: Gastroenterology Year: 2020 Type: Article Affiliation country: United States Institution/Affiliation country: University of Pittsburgh/US