Holistic and Objective Facial Measurements
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Holistic and Objective Facial Measurements
The Aesthetic AI Assistant is an advanced artificial intelligence (AI) model developed to provide objective, validated, and individualized evaluations of facial aesthetics (FA). This tool is a cornerstone in the evolving field of aesthetic medicine, offering a standardized approach to assessing facial attractiveness, which is linked to biological quality, physical health, and socio-economic success [1, 2].
Development and Function
To address the unmet needs in aesthetic medicine (e.g., subjectiveness, single-landmark evaluation), we developed an AI-based medical device. The Aesthetic AI Assistant employs a machine learning model trained on a global database. This model evaluates 17 facial landmarks with over 1,030 variables and is based on multidisciplinary consensus from leaders in aesthetic and anti-aging medicine.
Indexes and Methodology
The Aesthetic AI Assistant utilizes holistic facial metrics as novel medical standards, including:
• FAI (Facial Aesthetic Index): An aggregate measure of facial aesthetics. • FYI (Facial Youthfulness Index): An index reflecting the youthful aspects of a face. • SQI (Skin Quality Index): A measure of the skin's quality regarding texture, tone, and overall skin health [3].
These indexes are derived from AI-driven assessments that factor in skin texture, tone, facial proportions, symmetry, volume, and the presence of wrinkles. The AI also accounts for individual attributes such as age, gender, and a patient's ancestral roots to provide a comprehensive evaluation.
Results and Impact
The Aesthetic AI Assistant has shown high sensitivity and robust performance, maintaining over 80% accuracy even under challenging conditions like makeup. It provides an overview of facial attractiveness and youthfulness, specific facial features, and treatment recommendations. The facial indices FAI, FQI, and SQI have demonstrated increasingly improving accuracies.
Conclusion
The Aesthetic AI Assistant carries the potential to revolutionize facial aesthetics evaluations by introducing objective, numerical, and validated measures, with potential expansion into interdisciplinary fields such as neuroaesthetics [4]. This tool not only enhances the precision of facial assessments but also promotes targeted and early-stage aesthetic treatments, benefiting both medical providers and patients. Facial indices provide a holistic and AI-driven platform for objective and individual assessment of facial attractiveness.
References[edit]
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- ↑ Little, A.C., Facial attractiveness. Wiley Interdiscip Rev Cogn Sci, 2014. 5(6): p. 621-634.
- ↑ Jung, G.H., et al., Factors Influencing Perception of Facial Attractiveness: Gender and Dental Education. J Craniofac Surg, 2018. 29(2): p. e170-e175.
- ↑ Goldie, K., et al., Skin Quality - A Holistic 360° View: Consensus Results. Clin Cosmet Investig Dermatol, 2021. 14: p. 643-654.
- ↑ Chatterjee, A. and O. Vartanian, Neuroaesthetics. Trends Cogn Sci, 2014. 18(7): p. 370-5.
