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TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.

High-frequency ultrasonography can be a useful tool for diagnosing different stages of alopecia areata, a type of hair loss.

AI can accurately diagnose and assess alopecia areata using scalp images.

The model accurately detects early-stage hair loss using images.

A deep learning model accurately predicts male hair loss types using scalp images.

Dirty dots are a common scalp finding in elderly women and can be washed away with shampoo.

About 11% of patients with secondary syphilis had Syphilitic Alopecia, which usually improved with treatment.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Deep learning can improve non-invasive alopecia diagnosis using hair images.

The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.

Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.

Age, sex, BMI, menopause, and specific genes affect hair density in East Asians.

Low-cost videomicroscopes are not as reliable as standard videodermatoscopes for scalp examination due to lower image quality.

Use lower concentrations of triamcinolone acetonide to reduce steroid-induced scalp atrophy.

The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.

The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.

Trichoscopy is effective for tracking treatment progress in hair loss when used by an experienced doctor.

A new tool helps better assess and treat hair loss in Chinese men.

Trichoscopy is a key method for dermatologists to quickly and effectively diagnose hair and scalp conditions.

Injections improve hair growth, density, and thickness in women safely.

Low-cost videomicroscopy may not be reliable for diagnosing hair loss compared to standard videodermatoscopy.

The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.

Trichoscopy can diagnose female hair loss with high accuracy by looking for specific patterns in hair and scalp appearance.

Telemedicine is effective for managing alopecia areata follow-ups.

Standardized data is essential for diagnosing scalp and hair conditions in males.

Trichoscopy helps diagnose and track treatment for hair loss in men and women.

New skin imaging, teledermatology, and AI could become key in future dermatology care.

Low-cost videomicroscopes might not be reliable for examining scalp disorders compared to standard methods.

OCT can effectively diagnose different stages of hair loss non-invasively.

Histopathological confirmation is crucial to accurately diagnose alopecia triangular temporal and avoid unnecessary treatments.