AI Prediction for Post-Lower Blepharoplasty Age Reduction.

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Abstract

Aesthetic standards vary and are subjective for each person, and artificial intelligence is booming in this era.the authors aim to provide a relatively objective assessment of the aesthetic outcomes, enhancing the decision-making process and understanding of the surgical results.150 patients who had undergone lower blepharoplasty-related surgeries were included in our study. FaceAge software was created by our research team, which included four publicly age estimation convolution neural network (CNN) models, Amazon AWS Rekognition (Seattle, WA), Microsoft Azure Face (Redmond, WA), Face++ Detect (Beijing, China), and Inferdo face detection (New York, NY). We then first used this application for age accuracy between the real age and the age estimated by the four CNNs. Second, we used this application to estimate all the preoperative and postoperative images’ age of 150 patients and evaluate the effort of lower blepharoplasty.In terms of accuracy in age prediction, all CNN models exhibited a certain degree of accuracy. For all 150 patients undergoing lower blepharoplasty-related surgeries, the surgeries’ effect showed about 2 years of rejuvenation with a statistically significant difference; for the sex difference, men had more age reduction than women also with a statistically significant difference; quadrilateral blepharoplasty showed the most significant effect on anti-aging effect.By using the deep learning models, lower blepharoplasty-related surgeries actually had an effect on age reduction. The potential of deep learning models will provide quantitative evidence for the rejuvenation effects of blepharoplasty or other cosmetic surgeries.© The Author(s) 2024. Published by Oxford University Press on behalf of The Aesthetic Society. All rights reserved. For commercial re-use, please contact [email protected] for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact [email protected].