Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study.

Journal: Journal of medical Internet research
PMID: 34100770

Abstract

BACKGROUND: Dysphonia influences the quality of life by interfering with communication. However, a laryngoscopic examination is expensive and not readily accessible in primary care units. Experienced laryngologists are required to achieve an accurate diagnosis.

Authors

  • Hao-Chun Hu
    Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Shyue-Yih Chang
    Voice Center, Department of Otolaryngology, Cheng Hsin General Hospital, Taipei, Taiwan.
  • Chuen-Heng Wang
    Muen Biomedical and Optoelectronics Technologies Inc., New Taipei City, Taiwan.
  • Kai-Jun Li
    Department of Otorhinolaryngology-Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Hsiao-Yun Cho
    Department of Otorhinolaryngology-Head and Neck Surgery, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.
  • Yi-Ting Chen
    Muen Biomedical and Optoelectronics Technologies Inc., New Taipei City, Taiwan.
  • Chang-Jung Lu
    Voice Center, Department of Otolaryngology, Cheng Hsin General Hospital, Taipei, Taiwan.
  • Tzu-Pei Tsai
    Voice Center, Department of Otolaryngology, Cheng Hsin General Hospital, Taipei, Taiwan.
  • Oscar Kuang-Sheng Lee
    Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Orthopedics, China Medical University Hospital, Taichung, Taiwan. Electronic address: oscarlee9203@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals