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Updated: Jan 15, 2026

Author Spotlight: Advancing Facial Rejuvenation Therapy with Post-Laser Salicylic Acid Application
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Perceived Age Reduction After Rhytidoplasty: A Randomized Clinical Trial Comparing Three Surgical Techniques Using

Vinicius Santos Baptista1, Matheus Galvão Valadares Bertolini Mussalem1, Lydia Masako Ferreira1

  • 1Department of Plastic Surgery, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

Facial Plastic Surgery : FPS
|October 8, 2025
PubMed
Summary
This summary is machine-generated.

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Facelift techniques equally reduce perceived age, with no significant differences found between deep plane, high SMAS, or plication methods. Artificial intelligence (AI) age estimates align moderately with human perceptions.

Area of Science:

  • Plastic Surgery
  • Artificial Intelligence
  • Aesthetic Medicine

Background:

  • Perceived age is a key metric for facial rejuvenation outcomes.
  • Limited comparative data exists for different rhytidectomy techniques using both human and AI raters.
  • Understanding AI's role in aesthetic assessment is crucial.

Purpose of the Study:

  • To compare the rejuvenation effects of deep plane, high SMAS, and plication facelift techniques.
  • To evaluate the alignment between AI-driven age estimations and human perceptions of facial age.
  • To assess AI accuracy and potential rater biases in perceived age assessment.

Main Methods:

  • A randomized clinical trial involving 30 women (45-65 years) undergoing one of three facelift techniques (n=10 each).

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  • Standardized pre- and post-operative photographs were evaluated by 200 laypersons and three AI models.
  • Primary outcome was the change in perceived age (Δ age); secondary analyses included AI accuracy and human-AI correlation.

    • Main Results:

    • All surgical techniques significantly reduced perceived age, with no statistically significant differences between them.
    • AI models, specifically Amazon Rekognition and HowOldDoYouLook, demonstrated higher accuracy in age estimation.
    • A moderate correlation (r=0.41, p=0.020) was observed between human and AI evaluations, with younger human raters underestimating age.

    Conclusions:

    • Facelift techniques do not differ significantly in their ability to reduce perceived age.
    • AI age estimation tools show promise in reflecting human perceptions of facial rejuvenation.
    • AI assessments align with human evaluations, suggesting potential for AI in aesthetic outcome analysis.