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This article presents a classification system for stages of female-pattern androgenetic alopecia to aid early diagnosis and mentions existing systems for rare male-pattern cases, but reports no new clinical results.

This study found that a Faster Residual Convolutional Neural Network model achieved an accuracy of 84.3% in recognizing alopecia areata and various scalp conditions from image databases.

This analysis of clinical records found that the highest incidence of alopecia patients visiting a Korean medicine clinic were aged 20-30, with androgenic alopecia being the most common type.

This study found that alopecia areata often affects beard hair as frequently as scalp hair, leading the authors to propose a new scoring system and a subtype called alopecia subuniversalis for extensive hair involvement.

In this study, researchers introduced the Sanusi FUE Score Scale to better predict and grade the difficulty of follicular unit excision hair transplantation by accounting for diverse hair and skin types, with further validation needed.

In this study, researchers characterized the clinical features of ophiasis, an uncommon type of alopecia areata, and proposed a new subtype classification that may help predict treatment response and guide management, noting that ophiasis generally has a chronic and refractory nature.

This study highlights the need for personalized hair care plans based on scalp type and environmental factors, underscoring the importance of targeted product selection and the involvement of professionals to create effective solutions for modern lifestyle issues.

This study highlights the importance of creating customized, evidence-based hair care solutions by considering scalp types and environmental factors, confirming the effectiveness of multidisciplinary approaches integrating dermatology, cosmetology, and trichology to develop safe and efficient products and treatments.

This article discusses patient selection and procedural design for hair transplant surgery without reporting new clinical results; it also considers how hair transplant designs can align with various hairstyles.

This study reported that newly established dermoscopic diagnostic and grading criteria for androgenetic alopecia are highly accurate, with sensitivity and specificity at 98.3% and 96.7%, respectively.

Some men can have female pattern baldness without hormonal abnormalities or signs of feminization.

This case report describes androgenetic alopecia in two young siblings, highlighting its occurrence in children and suggesting a possible familial pattern given their mother's similar condition.

Hair diameter diversity is a key sign for diagnosing and managing male pattern baldness.

This review discusses the significant progress in the diagnosis and treatment of hair loss disorders over the last 30 years and reports no new clinical results.

Hair transplantation is a surgical procedure to move hair to bald areas, requires good donor hair, and results show in about a year.

This review discusses the complex causes and treatment options for female androgenetic alopecia but does not present new research findings, emphasizing the need for early diagnosis and treatment.

This research suggests that geometric classification of hair into fewer groups may be more reliable and useful for studying hair characteristics, rather than racial descriptions, especially in medical and forensic applications.

This study found that female pattern hair loss was present in 12.5% of PCOS patients examined, with most cases in younger women, highlighting early detection and management importance.

This review discusses the classification and diagnosis of primary scalp alopecia, focusing on scarring and non-scarring types, and reports no new clinical results; it emphasizes simplified diagnostic pathways and tissue processing techniques.

This study found that an Attention-based Balanced Multi-Task Deep learning system achieved a 95.11% accuracy in classifying Alopecia Areata conditions using hair and scalp images, outperforming classical methods.

In this retrospective observational study, researchers found that the Dean Scale showed better diagnostic accuracy than the CTCAE scale for detecting clinician-reported therapeutic responses to minoxidil in patients with anticancer therapy-induced alopecia, but both scales had limitations in recording clinically significant hair regrowth.

In this hospital-based cross-sectional study, researchers observed that trichoscopy effectively differentiates between severe and mild male pattern hair loss by identifying specific features such as yellow and white dots, vellus hair, and hair shaft diversity.

This article reviews the characteristics and classification criteria of cutaneous lupus erythematosus and reports no new clinical findings.

This study found no significant proteomic differences in hair samples across racial or geometric groups in a culturally diverse South African cohort, highlighting the limited value of racial classification in precision medicine.

This review discusses erosive pustular dermatosis of the scalp, including its characteristics, potential triggers, and its classification as a neutrophilic dermatosis, but reports no new clinical findings.

The authors suggest that scalp pain resulting from infestations, infections, or inflammatory diseases should be included in the next classification of headaches, as it currently lacks clear clinical characteristics and inclusion in the ICHD-3 criteria.

This study developed a new semiquantitative grading scale for frontal and vertex androgenetic alopecia, which was found to be more sensitive and objective than existing classifications.

This study developed a new neural network model (AA-GAN-AB-MTEDeep) to enhance Alopecia Areata classification using synthetic scalp images, achieving an accuracy of 96.94%.

This study investigated variation in depth control during follicular unit extraction and introduced a new depth classification, highlighting depth variability within different zones of the scalp's safe donor area.

This article reviews various types of alopecia, their diagnostic features, and patterns, but presents no new clinical findings; the authors discuss multiple mechanisms and classification challenges.