Commentary on: The Use of a Novel Artificial Intelligence Platform for the Management of Rhytids

See the Original Article here. We have read with great interest the recent article by Yoelin et al, titled “The Use of a Novel Artificial Intelligence Platform for the Management of Rhytids.” 1 The authors used a mobile phone application, Appiell (Los Altos, CA), to evaluate the severity of glabellar frown lines. Appiell, which is based on artificial intelligence (AI) technology, has demonstrated its ability to evaluate wrinkles reliably and accurately. Facial wrinkles, the first and most visible morphological change of aging, are among the features most targeted for rejuvenation treatments. The evaluation of facial wrinkles is therefore of great importance in assessing the efficacy of these treatments. Currently, a variety of wrinkle evaluation systems—both subjective and objective—exist. Among the subjective systems, the 5-level Wrinkle Severity Rating Scale2 and the 4-level Fitzpatrick Wrinkle Scale3 are the most widely used to assess deep facial wrinkles, such as nasolabial folds. Other examples include the Lemperle Scale,4 which is used to evaluate the effect of nasolabial fold correction, and the 5-level Validated Assessment Scales,5 which are used to evaluate the severity of crows’ feet, frontal lines, and glabellar frown lines. All subjective evaluations are based on observers’ experience, and interrater agreement is sometimes not guaranteed. Subjective methods are usually more applicable for evaluating deep facial wrinkles or folds but are less suited for assessing fine lines.