This investigation aims to leverage advances in machine vision to develop algorithms that can take in standard videofluoroscopy recordings of swallows and output reliable MBSImP scores. To accomplish this a multi-stage machine vision algorithm has been developed to build machine learning guided by expert knowledge from speech language pathologists.