Lots_of_swallowing_mp4

: Research has been conducted on the automatic detection of the pharyngeal phase in raw videos using 3D convolutional networks to reduce the time needed for manual biomechanical analysis [17].

: A comprehensive review paper identified 277 publications between 2010 and 2021 focused on automatically detecting bites, chews, and swallows from video recordings [2]. lots_of_swallowing_mp4

: Some papers include supplementary video files (like MP4s) to demonstrate swallowing mechanics. For instance, research on pharyngeal mechanosensory neurons includes video evidence of swallowing frequency in response to food viscosity [29]. Medical Context for "Video Swallowing" : Research has been conducted on the automatic

: A test where a small camera is passed through the nose to view the throat during swallowing [8]. One such system, FEES-CAD , uses convolutional neural

: Recent studies have developed AI models to automatically diagnose aspiration and penetration from Videofluoroscopic Swallow Study (VFSS) videos [5]. One such system, FEES-CAD , uses convolutional neural networks to classify swallowing issues with expert-level accuracy [8].