Analysis of Hairline and Forehead Sexual Dimorphic Aesthetics in 60 Celebrities Using Artificial Intelligence

In this study, researchers aim to use AI-related methods to predict different hair loss patterns, including male and female pattern baldness, alopecia areata, telogen effluvium, and traction alopecia, though specific results are not reported.

This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.

This study presents guidelines for designing female hairlines, noting that most women in the sample had a widow's peak and specific average measurements for hairline features.

This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

This study found that a five-dimensional model of personality perception from men's facial photographs better captures the complexity of face perception than the traditional two-dimensional Valence-Dominance model, highlighting overlaps with personality structures known from differential psychology.