Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
PMID: 33588618

Abstract

OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate patient-reported metrics with AGATI measurements of TVF anterior glottic angles, before and after procedural intervention.

Authors

  • Tiffany V Wang
    Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Nat Adamian
    Surgical Photonics & Engineering Laboratory, Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, U.S.A.
  • Phillip C Song
    Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Ramon A Franco
    Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
  • Molly N Huston
    Department of Otolaryngology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Nate Jowett
    Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Cambridge.
  • Matthew R Naunheim
    Division of Laryngology, Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, Boston, Massachusetts, U.S.A.

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