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Clinician and Automated Assessments of Facial Function Following Eyelid Weight Placement
Author(s) -
Jacqueline J. Greene,
Joana de Pinho Tavares,
Diego L. Guarín,
Tessa A. Hadlock
Publication year - 2019
Publication title -
jama facial plastic surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 59
eISSN - 2168-6092
pISSN - 2168-6076
DOI - 10.1001/jamafacial.2019.0086
Subject(s) - medicine , eyelid , palpebral fissure , palsy , synkinesis , facial nerve , facial paralysis , bell palsy , surgery , canthus , blepharoplasty , bell's palsy , alternative medicine , pathology
Quantitative assessment of facial function is difficult, and historic grading scales such as House-Brackmann have well-recognized limitations. The electronic, clinician-graded facial function scale (eFACE) allows rapid regional analysis of static, dynamic, and synkinetic facial function in patients with unilateral facial palsy within the course of a clinical encounter, but it relies on clinician assessment. A newly developed, machine-learning algorithm (Emotrics) provides automated, objective facial measurements but lacks clinical input (ie, recognizing laterality of facial palsy or synkinesis).

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