Deep learning algorithm classification of tympanostomy tube images from a heterogenous pediatric population.

Journal: International journal of pediatric otorhinolaryngology
PMID: 40096786

Abstract

IMPORTANCE: The ability to augment routine post-operative tube check appointments with at-home digital otoscopes and deep learning AI could improve health care access as well as reduce financial and time burden on families.

Authors

  • Corey Bryton
    Tufts University School of Medicine, USA.
  • Sruthi Surapaneni
    Michigan State University College of Human Medicine, USA; Glimpse Diagnostics LLC, USA.
  • Nikhil Rangarajan
    Glimpse Diagnostics LLC, USA.
  • Angela Hong
    Tufts Medical Center, Department of Otolaryngology - Head and Neck Surgery, USA.
  • Alexander P Marston
    University of California Davis Health, Department of Otolaryngology - Head and Neck Surgery, USA.
  • Mark A Vecchiotti
    Tufts Medical Center, Department of Otolaryngology - Head and Neck Surgery, USA; Department of Otolaryngology - Head and Neck Surgery, Boston Medical Center, USA.
  • Courtney Hill
    Glimpse Diagnostics LLC, USA.
  • Andrew R Scott
    Tufts University School of Medicine, USA; Tufts Medical Center, Department of Otolaryngology - Head and Neck Surgery, USA; Division of Pediatric Otolaryngology, Massachusetts Eye and Ear, USA. Electronic address: ascott@tuftsmedicalcenter.org.

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