Harnessing machine learning in diagnosing complex hoarseness cases.

Journal: American journal of otolaryngology
PMID: 39673920

Abstract

PURPOSE: Traditional vocal fold pathology recognition typically requires expertise of laryngologists and advanced instruments, primarily through direct visualization. This study aims to augment this conventional paradigm by introducing a parallel diagnostic procedure. Our objective is to harness a machine-learning algorithm designed to discern intricate patterns within patients' voice recordings to distinguish not only between healthy and hoarse voices but also among various specific disorders.

Authors

  • Ariel Roitman
    Carmel Medical Center, Department of Otolaryngology - Head and Neck Surgery, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel. Electronic address: ArielRo@clalit.org.
  • Yiftach Edelstain
    Signal and Image Processing Laboratory (SIPL), Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Israel.
  • Chen Katzir
    Signal and Image Processing Laboratory (SIPL), Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Israel.
  • Hadas Ofir
    Signal and Image Processing Laboratory (SIPL), Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Israel.
  • Nimrod Peleg
    Signal and Image Processing Laboratory (SIPL), Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Israel.
  • Ilana Doweck
    Carmel Medical Center, Department of Otolaryngology - Head and Neck Surgery, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
  • Yoav Yanir
    Carmel Medical Center, Department of Otolaryngology - Head and Neck Surgery, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

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