AI Facial Assessment & Clinical Grading2021
Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients
Wang TV, Adamian N, Song PC, Franco RA, Huston MN, Jowett N, Naunheim MR
Otolaryngol Head Neck Surg
What Is This Study About?
This study applied automated computer vision technology to track vocal fold movement in patients with vocal fold paralysis. The tool provides objective measurements from standard laryngoscopy video, reducing subjectivity in assessment.
Key Findings
- Applied automated glottic tracking to vocal fold paralysis patients
- Objective measurements correlated with clinical severity assessments
- Reduces inter-observer variability in vocal fold function evaluation
What This Means for Patients
Automated assessment tools provide more consistent, objective tracking of vocal fold function, helping patients and surgeons monitor treatment progress.
Citation & Links
Citation: Wang TV, Adamian N, Song PC, Franco RA, Huston MN, Jowett N, Naunheim MR. Otolaryngol Head Neck Surg. 2021 Oct; 165(4):556-562.
PMID: 33588618