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Aesthetically ideal noses created using a single artificial intelligence model: Validating literature and exploring

Jose R Segura-Bermudez1, Siam Rezwan1, Ainaz Dory Barkhordarzadeh1

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Artificial intelligence (AI) generated ideal female noses, revealing ethnic variations that challenge existing rhinoplasty standards. This suggests a need for individualized surgical planning beyond current anthropometric ideals.

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Area of Science:

  • Plastic Surgery
  • Artificial Intelligence
  • Facial Aesthetics

Background:

  • Rhinoplasty is a popular cosmetic procedure influenced by evolving beauty standards.
  • Established anthropometric standards guide preoperative assessment.
  • Artificial intelligence (AI) offers new perspectives on nasal beauty across ethnicities.

Purpose of the Study:

  • To assess if AI-generated aesthetically ideal female noses reflect ethnic variations.
  • To determine if AI ideals align with published anthropometric standards for rhinoplasty.

Main Methods:

  • Generated 180 "aesthetically ideal" female facial images using an AI diffusion model.
  • Included six ethnic groups: African American, Asian, Caucasian, Hispanic, Middle Eastern, and South Asian.
  • Compared AI-generated nasal measurements against published aesthetic ideals.

Main Results:

  • Significant ethnic variations were observed in AI-generated nasal features.
  • African American and Caucasian groups aligned with specific published ratios (alar base to tip, nose width to intercanthal distance).
  • All groups differed in nasal tip projection; nasolabial angles were consistent, while nasofrontal angles varied by ethnicity.

Conclusions:

  • AI can generate ethnically nuanced nasal images, highlighting differences from current aesthetic standards.
  • An individualized approach to rhinoplasty planning is supported by these findings.
  • AI-generated images may serve as supplementary tools for patient consultations regarding identity.