期刊
OTOLARYNGOLOGIC CLINICS OF NORTH AMERICA
卷 51, 期 6, 页码 1033-+出版社
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.otc.2018.07.003
关键词
Facial palsy; eFACE; Emotrics; Emotionality quotient; Spontaneous smile; Machine learning; Layperson
Outcome tracking in facial palsy is multimodal, consisting of patient-reported outcome measures, clinician-graded scoring systems, objective assessment tools, and novel tools for layperson and spontaneity assessment. Patient-reported outcome measures are critical to understanding burden of disease in facial palsy and effects of interventions from the patient perspective. Clinician-graded scoring systems are inherently subjective and no 1 single system satisfies all needs. Objective assessment tools quantify facial movements but can be laborious. Recent advances in facial recognition technology have enabled automated facial measurements. Novel assessment tools analyze attributes such as spontaneous smile, emotional expressivity, disfigurement, and attractiveness as determined by laypersons.
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