Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model

Diagnosis of unilateral vocal fold paralysis using auto-diagnostic deep learning model

Abstract Unilateral vocal fold paralysis (UVFP) is a condition characterized by impaired vocal fold mobility, typically diagnosed using laryngeal videoendoscopy. While deep learning (DL) models using static images have been explored for UVFP detection, they often lack the ability to assess vocal fol...

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Bibliographic Details
Main Authors: Kyoung Ok Yang, So Young Kim, Chang Won Kang, Jeong Seon Choi, Yong Bae Ji, Kyung Tae, Jun Won Choi, Chang Myeon Song
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Vocal fold paralysis
Deep learning model
Auto-diagnosis
Laryngeal videoendoscopy
Multi-task learning
Vocal fold movement
Online Access:https://doi.org/10.1038/s41598-025-09797-z
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https://doi.org/10.1038/s41598-025-09797-z

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