Machine-learning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia.

Journal: Frontiers in neuroscience
Published Date: Nov 24, 2023

Abstract

INTRODUCTION: Post-stroke dysphagia is common and associated with significant morbidity and mortality, rendering bedside screening of significant clinical importance. Using voice as a biomarker coupled with deep learning has the potential to improve patient access to screening and mitigate the subjectivity associated with detecting voice change, a component of several validated screening protocols.

Authors

  • Rami Saab
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Arjun Balachandar
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Hamza Mahdi
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Eptehal Nashnoush
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Lucas X Perri
    Goodfellow-Waldron Initiative in Stroke Innovation and Recovery, Division of Neurology, Neurology Quality and Innovation Lab, University of Toronto, Toronto, ON, Canada.
  • Ashley L Waldron
    Goodfellow-Waldron Initiative in Stroke Innovation and Recovery, Division of Neurology, Neurology Quality and Innovation Lab, University of Toronto, Toronto, ON, Canada.
  • Alireza Sadeghian
    Department of Computer Science, Faculty of Science, Toronto Metropolitan University, Toronto, ON, Canada.
  • Gordon Rubenfeld
    Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
  • Mark Crowley
    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Mark I Boulos
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Brian J Murray
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
  • Houman Khosravani
    Hurvitz Brain Sciences Program, Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.

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