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ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.

The method shows how hair lipids form specific patterns and their roles in hair structure.

The new AI system improves remote skin condition diagnosis and access to care.

Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.

A new computer tool quickly measures hair thickness differences in people with common types of hair loss.

Antera 3D® offers more precise and detailed scar assessment than traditional methods.

A super thin DIEP flap can effectively reconstruct scalp defects with good skin coverage and contour.

The flap effectively sealed leaks and served as a barrier, with minor complications, for anterior skull base surgery.

Combining different treatments like fillers, collagen stimulators, botulinum toxin, and energy devices gives better facial rejuvenation results.

New imaging technologies help us see how stem cells work in living animals.

A new image-based method improves accuracy in measuring hair loss in mice.

Videodermoscopy is effective for diagnosing different types of non-scarring hair loss.

The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.

RCM and dermoscopy help identify different types of hair loss in children.

Early diagnosis and multidisciplinary care, including orthopedic surgery, can prevent long-term disability in IFAP syndrome.

Noninvasive scalp imaging techniques can improve patient care by reducing the need for biopsies.

The book showed that combining expertise from various specialties improves facial cosmetic surgery outcomes.

The hydrogel helps heal skin injuries by promoting blood vessel and hair growth.

A new 3D-printed microscope stage makes long-term imaging of live tissue easier and more accessible.

Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.

AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.

A 4-year-old boy's vision and hair loss were likely caused by inflammation.

Lack of small, fine hair on the front hairline is a key sign of frontal fibrosing alopecia.

LC-OCT can help identify lupus-related scarring hair loss by spotting unique features.

A new method accurately measures college students' mental health by considering time perception and clustering techniques.

AI can effectively detect hair and scalp disorders from images.

Non-invasive methods can effectively diagnose and manage alopecia areata.

AGA and TE can be differentiated by specific trichoscopic features, with AGA showing more variation in hair thickness in fronto-temporal areas.