Application of an AI-Based Model for Non-Invasive Sonographic Assessment for Injection Laryngoplasty.

Journal: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Published Date: Mar 21, 2025

Abstract

OBJECTIVE: Hyaluronic acid (HA) can be degraded over time. However, the persistence of the effects after injection laryngoplasty (IL) for unilateral vocal fold paralysis (UVFP) has been observed. The relation between HA residue and clinical voice outcomes is undetermined. We aimed to develop a non-invasive method with clinical applicability for objective evaluation of the temporal change in HA volume using artificial intelligence-based ultrasonographic assessment. Furthermore, the volume outcome and its relation to voice outcomes were investigated.

Authors

  • Wen-Hsuan Tseng
    Department of Otolaryngology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Ming-Sui Lee
    Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Shung-Cyuan Hong
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
  • Tzu-Yu Hsiao
    Department of Otolaryngology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Tsung-Lin Yang
    Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan, ROC.

Keywords

External Resources

Popular Topics
Recent Journals