Artificial intelligence in the diagnosis and management of dysphagia: a scoping review.

Journal: CoDAS
Published Date:

Abstract

PURPOSE: This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA guidelines and those of the Joanna Briggs Institute, focusing on research about technological innovations in dysphagia.

Authors

  • Rayane Délcia da Silva
    Universidade Tuiuti do Paraná - UTP - Curitiba (PR), Brasil.
  • Suzanne Bettega Almeida
    Universidade Tuiuti do Paraná - UTP - Curitiba (PR), Brasil.
  • Flavio Magno Gonçalves
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • Bianca Simone Zeigelboim
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • José Stechman-Neto
    Universidade Tuiuti do Paraná - UTP - Curitiba (PR), Brasil.
  • Ângela Graciela Deliga Schroder
    School of Dentistry, Tuiuti University of Paraná, Curitiba, Brazil.
  • Weslania Viviane Nascimento
    Gastrointestinal Physiology Laboratory, Department of Surgery, Hospital of Mataro, Universitat Autonoma de Barcelona, Spain.
  • Rosane Sampaio Santos
    Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
  • Cristiano Miranda de Araujo
    Universidade Tuiuti do Paraná - UTP - Curitiba (PR), Brasil.