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Perceived age and biological age often differ from chronological age. Intrinsic and extrinsic factors contribute to changes in facial skin, such as wrinkling, color abnormalities, and sag. Efficacy of cosmetic treatments is often gauged by the amount of “youthful change.” The cosmetic industry needs an objective, fast, and cheap method to determine perceived age.
Investigators developed an algorithm that uses objective measures of phenotypic features to estimate perceived age. The algorithm employed artificial intelligence, supervised mathematical learning, and error retropropagation. The artificial neural network was trained 10 times using standard k-fold cross-validation methods.
Participants were 120 female volunteers aged 41 to 49. Women …