Abstract 130: Emotional Evaluation of Outcomes in Facial Reanimation Surgery Using Artificial Intelligence

PURPOSE: Facial reanimation surgery outcome assessment has primarily been accomplished using traditional methods such as subjective scoring and measurement of symmetry. This does not provide information about emotional expression, which is the key function of the face, and the ultimate goal of facial reanimation surgery. Advances in deep learning and artificial intelligence have led to the development of software that can quantify the proportion of different emotions expressed during a facial expression. Using this type of software analysis, we have evaluated the outcomes of facial reanimation surgery on the emotions expressed by a sample of smiling patients. We believe this instantaneous evaluation of emotional expression will lead to a more meaningful assessment of patient function and outcomes