Objective evaluation of biomaterial effects after injection laryngoplasty - Introduction of artificial intelligence-based ultrasonic image analysis.

Wen-Hsuan TsengMing-Sui LeeChe-Chai WangYong-Wei ChenTzu-Yu HsiaoTsung-Lin Yang

Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2021)

The volume change of the injected HA over time for an individual was estimated non-invasively by AI-based ultrasonic image analysis. The prolonged effect after treatment, longer than HA longevity, was demonstrated objectively for the first time. The information is beneficial to achieve optimal cost-effectiveness of IL and improve the life quality of the patients.

Keyphrases

artificial intelligence
machine learning
end stage renal disease
big data
deep learning
ejection fraction
chronic kidney disease
newly diagnosed
peritoneal dialysis
physical activity