Real-time augmentation of diagnostic nasal endoscopy video using AI-enabled edge computing.

Journal: International forum of allergy & rhinology
PMID: 39316067

Abstract

AI-enabled augmentation of nasal endoscopy video images is feasible in the clinical setting. Edge computing hardware can interface with existing nasal endoscopy equipment. Real-time AI performance can achieve an acceptable balance of accuracy and efficiency.

Authors

  • Jonathan Bidwell
    Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
  • Dipesh Gyawali
    Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
  • Jonathan Morse
    Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
  • Vinayak Ganeshan
    Department of Otorhinolaryngology, Ochsner Health, New Orleans, Louisiana, USA.
  • Thinh Nguyen
    Department of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
  • Edward D McCoul
    Department of Otorhinolaryngology, Ochsner Clinic, New Orleans, Louisiana, USA.

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