Date Thesis Awarded
Honors Thesis -- Access Restricted On-Campus Only
Bachelors of Science (BS)
This thesis introduces a video laryngoscope with improved visibility and an AI guidance system. The laryngoscope is equipped with a camera and can automatically stream live video taken during intubation to a server through WiFi that is accessible to any device connected to the same WiFi station (router, hotspot, etc.). It is also compatible with devices with Bluetooth Low Energy (BLE) and can thus establish a paired communication with most of the electronic devices on the market. The backend of the AI guidance system is a neural network trained for image segmentation. Our most recent model uses the CCNet architecture to identify the vocal folds in the laryngoscope’s video feed.
Shi, Tianchen and Urbach, Avi, "The Development of an AI Video Laryngoscope" (2023). Undergraduate Honors Theses. William & Mary. Paper 1920.
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Available for download on Friday, May 06, 2033
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