ARTIFICIAL INTELLIGENCE AND DYSPHAGIA: NOVEL SOLUTIONS TO OLD PROBLEMS.

Journal: Arquivos de gastroenterologia
PMID: 33331470

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.

Authors

  • Ervin Sejdić
    Department of Electrical and Computer Engineering, University of Pittsburgh, Benedum Hall, Pittsburgh, PA 15260, USA. Electronic address: esejdic@ieee.org.
  • Yassin Khalifa
    Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Amanda S Mahoney
    University of Pittsburgh, Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, Pittsburgh, Pennsylvania, United States.
  • James L Coyle

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