Background: Facial symmetry and proportions are key factors in aesthetic evaluations across fields like cosmetic surgery, dermatology, and facial recognition. Traditional measurement methods often rely on subjective analysis, making them prone to inconsistencies. The measure face ratio-F4CE app, an AI-driven tool, provides an innovative solution for precise and objective facial analysis.
Objective: This study aims to evaluate the effectiveness of the F4CE app in measuring facial symmetry and proportions, with a focus on its ability to accurately assess facial aesthetics using advanced AI algorithms.
Methods: The F4CE app uses AI to detect facial landmarks, including the eyes, eyebrows, nose, mouth, chin, and jawline. It measures the proportional relationships between these features and calculates facial symmetry scores. The app also compares these measurements to the golden ratio, a widely recognized standard of facial harmony in aesthetics. A publicly available dataset of 12 patients was analyzed to evaluate the performance and accuracy of the F4CE app. Twenty different measurement tasks were conducted to assess the app's efficacy across all 12 patients.
Results: The F4CE app successfully detected the facial landmarks for all 12 patients across the 20 measurement tasks, accurately calculating symmetry and proportions. Its measurements were in close alignment with established aesthetic standards, particularly the golden ratio, offering a comprehensive analysis of facial aesthetics.
Conclusion: The F4CE app is a precise and efficient tool for measuring facial symmetry and proportions. Its AI-powered capabilities enable accurate, data-driven assessments that are valuable for professionals in cosmetic surgery, dermatology, and aesthetic medicine, providing personalized and scientifically informed insights.
Level Of Evidence V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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