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Perceived Age and Attractiveness Using Facial Recognition Software in Rhinoplasty Patients: A Proof-of-Concept Study
Sumun Khetpal1, Connor Peck1, Yassmin Parsaei1,2
1Division of Plastic and Reconstructive Surgery, Yale School of Medicine, New Haven; and.
Artificial intelligence (AI) analysis of facial recognition software shows rhinoplasty improves perceived attractiveness and reduces apparent age. The AI tool offers an objective measure for cosmetic surgery outcomes.
Area of Science:
- Plastic Surgery
- Artificial Intelligence
- Computer Vision
Background:
- Objective measurement of aesthetic plastic surgery outcomes is challenging.
- Facial recognition software offers a novel approach to quantify cosmetic improvements.
Purpose of the Study:
- To evaluate the utility of artificial intelligence (AI)-based facial recognition software in assessing perceived changes in age and attractiveness after rhinoplasty.
- To determine if AI analysis can provide objective metrics for cosmetic surgery results.
Main Methods:
- Retrospective analysis of 124 patients undergoing rhinoplasty.
- Assessment of pre- and post-operative 3D facial images using Haystack AI Software.
- Comparison of AI-predicted age and attractiveness scores before and after surgery using paired t tests and multivariate regression.
Main Results:
- Rhinoplasty was associated with a statistically significant increase in AI-rated attractiveness (P=0.03) and a decrease in perceived age (-1.03 years, P=0.03).
- Patients appearing older than their actual age preoperatively experienced greater age reduction post-surgery (P<0.001).
Conclusions:
- AI-based facial recognition software can objectively measure improvements in perceived age and attractiveness following rhinoplasty.
- The software identified significant cosmetic benefits, with the greatest age reversal observed in patients with higher preoperative perceived age.
- This technology holds promise for objective outcome assessment in aesthetic plastic surgery.
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