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This piece describes a study designed to quantify hair density in the frontoparietal area of women without self-reported androgenetic alopecia, but it reports no results.

This article critically assesses literature favoring horizontal over vertical sections for diagnosing scalp diseases and concludes that a qualitative, vertical approach improves diagnostic precision for alopecias.

This study describes a simple, noninvasive hair counting method used in a hair growth prevention trial, assessing its reliability and validity.

This study found significant differences in hair density, non-vellus hair diameter, and percentage of miniaturized hair between normal women and those with female pattern hair loss, particularly in the midscalp and parietal areas.

This mini-review summarizes the Trichoscan as a sensitive tool for measuring hair growth parameters, demonstrating its effectiveness in detecting treatment response in androgenetic alopecia but noting some practical limitations.

In this study, Scalp Immersion Proxigraphy (SIP) was shown to produce more accurate measurements of linear hair growth rate than crude phototrichogram techniques, suggesting SIP's suitability for clinical trials monitoring hair growth.

This study found that both finasteride and low level laser therapy were similarly effective in improving hair regrowth for frontal pattern hair loss in men and women over a 3-month period.

This review discusses techniques and models for assessing hair growth activity but reports no new clinical findings, emphasizing the need for standardization and improved animal models.

This letter addresses feedback on a study about the effects of platelet-rich plasma on female androgenetic alopecia, particularly discussing the magnification choices for measuring hair density and caliber.

This article reviews various diagnostic tools for hair disorders, describing methods ranging from invasive to noninvasive, but reports no new research findings or clinical results.

This review evaluates hair growth measurement methods for human scalp hair, suggesting that combining highly resolutive analytical approaches with global calibrated methods is recommended for assessing hair changes in clinical settings.

This paper presents an RGB video microscopic system to monitor optical properties of hair shafts and follicles in vitro, but reports no new clinical results.

This study utilized polarized light microscopy to examine hair shafts in ten children with rare genetic disorders, such as Netherton syndrome and ectodermal dysplasia, providing valuable diagnostic insights into hair thickness, composition, and structural irregularities associated with these conditions.

This study reports that the TrichoScan method effectively measures hair growth parameters and detected significant improvements in hair counts and thickness in men with androgenetic alopecia after finasteride treatment.

This study demonstrated that mink hair growth and pelt quality significantly depend on dietary protein levels and DL-methionine supplementation during the growing-furring period.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

The document concludes that accurate diagnosis of male and female gonadal disorders is crucial for effective treatment and better patient outcomes.

This article reviews optimal patient selection and donor site quality for successful hair transplant procedures, but reports no new clinical findings.

This study found that combining Alexandrite laser with iontophoresis of chymotrypsin and papain enzymes reduced the laser pulse requirements compared to laser alone for treating paradoxical hypertrichosis in women with facial hirsutism, suggesting potential clinical benefits in managing this condition.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

This study used bibliometric analysis to evaluate global research on AI applications in dermatology, identifying 406 relevant papers and highlighting current priorities such as machine learning for wound progression, AI in teledermatology, and applications for skin diseases.

This article reviews the controversies that led to the establishment of the ISHRS and its impact on the evolution of hair transplantation, reporting no new clinical results.

This study observed that hair density and thickness were significantly reduced across multiple scalp sites in South Korean women with hair loss, highlighting potential patterns that could aid in differentiating hair disorders.

Photographic documentation crucial for evaluating hair growth in androgenetic alopecia.

This study concluded that TrichoScan is error-prone in its current form and overestimates certain hair growth parameters, with results not aligning with clinical severity of alopecia.

High-quality photos help track hair growth progress in androgenetic alopecia patients.

This study analyzed changes in hair diameter and density with age in Caucasian women, highlighting variations in perception of hair amount over time.

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 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 found that finasteride increases anagen hair growth in men with androgenetic alopecia.