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Artificial Intelligence Analysis of Periorbital Rejuvenation
Aesthetic Surgery Journal
|September 27, 2024
Summary
Brow lifts significantly reduce perceived age, according to AI analysis of facial rejuvenation surgery. This finding highlights the importance of considering brow lifts for effective periorbital rejuvenation.
Area of Science:
- Ophthalmology
- Plastic Surgery
- Artificial Intelligence
Background:
- Periorbital rejuvenation aims to restore a youthful facial appearance.
- Objective measures for assessing the impact of these surgeries on perceived aging are limited.
Purpose of the Study:
- To quantify the effect of brow lift and blepharoplasty on perceived age using artificial intelligence (AI).
Main Methods:
- Retrospective review of 153 patients undergoing periorbital rejuvenation (2018-2023).
- Analysis of preoperative and postoperative images using four AI platforms to estimate age reduction.
- Comparison of age reduction across different procedures.
Main Results:
- AI platforms showed a mean age estimation error of 10.6%, tending to underestimate true age.
- Overall surgery resulted in a mean perceived age reduction of 1.03 years (P < .001).
- Brow lift procedures independently resulted in a mean age reduction of 1.432 years (P = .031).
Conclusions:
- Brow lifts significantly reduce perceived age.
- AI analysis provides objective data for evaluating surgical outcomes.
- Consideration of brow lifts is recommended in periorbital rejuvenation planning.
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