AI-Based Quantitative and Objective Analysis of Aesthetic Results in Genioplasty

作者：Jakob Fenske, Samuel A. Knoedler, Tobias Niederegger, Simon Bigus, Jan Oliver Voß, Rainer Pooth, Carsten Rendenbach, Max Heiland, Alexandre G. Lellouch, Leonard Knoedler · 发表于：Aesthetic Plastic Surgery · 年份：2026 · DOI：10.1007/s00266-025-05607-z · 被引用次数：7 · 研究领域：Nasal Surgery and Airway Studies、Facial Rejuvenation and Surgery Techniques、Orthodontics and Dentofacial Orthopedics

BACKGROUND: Genioplasty and chin-augmentation are well-established procedures aimed at enhancing lower facial aesthetics. Traditionally, aesthetic outcomes have been assessed subjectively through expert opinions and patient-reported measures. The integration of artificial intelligence (AI) offers an objective approach to evaluating surgical results. This study utilizes the ICA Aesthetic Navigation AI Research Metrics Model (ICAAN® ARMM) to analyze postoperative changes in facial attractiveness, youthfulness, and skin quality following genioplasty. METHODS: Pre- and postoperative full-frontal images of 50 patients undergoing osseous genioplasty were analyzed using the ICAAN® ARMM. Therefore, an array of three aesthetic scores, the Facial Aesthetic Index (FAI), Facial Youthfulness Index (FYI), and Skin Quality Index (SQI), were measured before and after surgery, with subgroup analyses by age, sex, and ethnicity. Minimally clinically important differences (MCIDs) were estimated. RESULTS: All three aesthetic scores demonstrated improvement postoperatively, with FAI showing the greatest increase (82 (73-89) to 85 (75-92); p = 0.296), without showing statistical significance. Older patients (≥ 35 years) exhibited greater improvements in FAI scores compared to younger individuals (4 (1-10) vs. 1 (- 3-5); p = 0.028). Sex-related trends were observed, while lacking statistical significance. Ethnic subgroup analysis revealed no differences in score changes, suggesting cross-cultural ap...