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This study found that Follicular Maps, derived from trichoscopic images, remained consistent over time and unaffected by hair cycling or noncicatricial alopecia, offering a precise tool for diagnosing and monitoring hair and scalp conditions.

In this observational study, hair density was found to vary with age, as measured in subjects from a dermatology outpatient department, with males showing a mean unit density of 104.78 and females 108.36.

This study found that quantitative trichoscopy is a simple and effective method for determining hair density and thickness in Egyptians, establishing baseline values for clinical hair loss investigations.

This study developed a deep learning framework and quantitative model that accurately predict basic and specific classification in male androgenetic alopecia by analyzing trichoscopic images.

This study found a strong correlation between the Sinclair Scale and cumulative hair thickness density, allowing the estimation of the Sinclair Scale from trichoscopy-derived statistics.