This study concentrates on machine learning. specifically deep learning techniques. to automatically detect the presence of aspiration or penetration in videofluoroscopic swallowing studies (VFSS). A comparative analysis is conducted on various deep learning architectures such as 2D Convolutional Neural Networks (2D-CNN). https://www.alarecre.com/