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Facial Morphometrics in Black Celebrities: Contemporary Facial Analysis Using an Artificial Intelligence Platform.
Salinas, Cristina A; Liu, Alice; Sharaf, Basel A.
Afiliação
  • Salinas CA; Division of Plastic Surgery, Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA.
  • Liu A; Division of Plastic Surgery, Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA.
  • Sharaf BA; Division of Plastic Surgery, Department of Surgery, Mayo Clinic, Rochester, MN 55905, USA.
J Clin Med ; 12(13)2023 Jul 05.
Article em En | MEDLINE | ID: mdl-37445534
ABSTRACT
The diversity of patients pursuing facial aesthetic and facial gender-affirming surgery (FGAS) is increasing, yet there is a paucity of objective guidelines to facilitate surgical decision-making in patients of color. We conducted a quantitative analysis of black celebrities using standardized frontal photos of 21 female and 21 male celebrities. Celebrities were chosen from popular entertainment magazines and websites, including People Magazine, the Internet Movie Database (IMDb), Cosmopolitan, and Essence. For each celebrity, 100 facial landmarks were detected through a facial analysis artificial intelligence (AI) program. Black males had greater facial height, bizygomatic width, lower facial height, and bigonial width than females. However, the facial height to bigonial width ratio was similar between genders and approximated the golden ratio (1.618). Female faces demonstrated a greater mid-face height to total facial height proportion, and males had a greater lower facial height proportion. Females exhibited an upward-slanted medial brow and shorter total eyebrow length, nose height, and alar width. Forehead height above the lateral brow was greater in males, while central forehead height was similar to females. This is the first study that has utilized AI to provide ethnicity-specific facial morphometrics relevant to facial rejuvenation and FGAS in the black population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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