Feasibility of Real‐Time Automated Vocal Fold Motion Tracking for In‐Office Laryngoscopy

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Aki Koivu, Obinna I. Nwosu, Mitsuki Ota, Kristina Simonyan, Matthew R. Naunheim

Published: 01 Feb 2026, Last Modified: 15 Apr 2026The LaryngoscopeEveryoneRevisionsCC BY-SA 4.0
Abstract: Major advancements have been made in applying artificial intelligence and computer vision to analyze videolaryngoscopy data. These models are limited to post hoc analysis and are aimed at research settings. In this work, we assess the feasibility of a real-time solution for automated vocal fold tracking during in-office laryngoscopy.