Estimation of Nasal Airway Cross-sectional Area From Endoscopy Using Depth Maps: A Proof-of-Concept Study.

Guilherme J M GarciaDominic CatalanoAxel ShumChristopher E LarkeeJohn S Rhee

Published in: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery (2024)

This study demonstrates that airway CSAs in 3D models can be accurately estimated from depth maps. The development of artificial intelligence algorithms to compute depth maps may soon allow the quantification of airspace CSAs from clinical endoscopies.

Keyphrases

artificial intelligence
machine learning
deep learning
optical coherence tomography
cross sectional
big data