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This systematic review identified and evaluated the most accurate ICD code classification methods for dermatologic conditions in US-based datasets, highlighting both high-performing algorithms and areas lacking validation, thereby informing future research and dataset use.

This review summarizes current knowledge on cutaneous symptoms in COVID-19, emphasizing their potential prognostic and therapeutic implications, but reports no new clinical findings.

This study discusses the development of deep learning models for diagnosing skin disorders and notes challenges such as lack of data for darker skin tones, without providing new clinical results.

EfficientNet improves accuracy in diagnosing hair loss stages.

This study suggests that the EULAR/ACR classification criteria for SLE may help predict organ damage, particularly in renal, cardiovascular, dermatological, and gonadal domains.

Dr. Yarborough denied endorsing Derma Genesis and was mistakenly represented due to his office manager's error; also, over 30% of tested skin products were contaminated with bacteria.

This study observed a variety of skin conditions related to COVID-19 and its vaccines in a Brazilian setting, classifying them into five categories, including peri-infectious reactions and vaccine-related adverse effects, to aid physicians managing similar cases.

Topical corticosteroids are effective for skin conditions but can have side effects.

This study found that a deep learning framework using the ResNet50 model achieved 95% overall accuracy in classifying 10 categories of hair diseases, demonstrating reliable performance but also identifying potential improvements due to misclassifications between similar conditions.

In this case report, a patient's atypical neuropsychiatric and dermatological symptoms were crucial for diagnosing systemic lupus erythematosus, highlighting the disease's clinical heterogeneity and the importance of early detection to prevent organ damage.

This study created a novel classification for dermatological and cosmiatric changes caused by cancer treatments, categorizing them as triggered, exacerbated, or unrelated to the treatment.

This supplement reviews various presentations on African hair and skin research from a L’Oréal workshop, reporting no new clinical results but highlighting the need for better education and prevention measures against harmful skin bleaching practices.

This review presents possible classifications of psychological disorders that significantly impact dermatology, along with their clinical characteristics and comorbidities, highlighting lesions as potential warning signs based on DSM-5 and ICD-10 codes.

In their commentary, the authors introduce additional cosmetic procedures—thread lifts, temporal lifting with dermal fillers, and facelifts—that may lead to type 2 pressure alopecia, expanding the understanding of this condition's potential causes beyond the original classification tied to cosmetic injections and sustained external pressure.

This study found that the BASP classification system for pattern hair loss showed better reproducibility and repeatability compared to the Norwood-Hamilton classification.

This article reviews the current ACR classification criteria for systemic lupus erythematosus, highlighting their dermatologic limitations, and proposes guidelines for a study to update these criteria.

This review discusses the identification and classification of different wrinkle types based on histological features and microanatomy, emphasizing their varying responses to treatments, and reports no new clinical results.

This article reviews the development and theories of psychosomatic concepts in dermatology, outlining classifications of psychocutaneous disease and suggesting improvements in clinical practice, without reporting new research results.

This study proposed a detailed classification of psychodermatosis by examining three cases that illustrate the interaction between the brain and skin, resulting in conditions like trichotillomania and factitious dermatitis.

This review discusses the dermatologic symptoms associated with severe eating disorders like anorexia nervosa and bulimia nervosa and how they can aid in early diagnosis, without reporting new results.

This review discusses common skin disorders in older women and their treatments, but it reports no new clinical results.

This article reviews the current literature on rosacea, focusing on the new subtype classification system and the main theories of its pathogenesis, but reports no new clinical results.

This source discusses ichthyosis, a disorder causing dry, scaly skin, by exploring its genetic causes, potential systemic associations, and treatments, and correlates modern medical insights with Unani medicine principles focused on humoral balance and holistic care.

This study developed a high-performance deep learning model using the Inception-ResNet v2 architecture to classify 10 hair disease classes, achieving an accuracy of 94.7% and balanced precision, recall, and F1-scores of 0.94, suggesting reliability for automated dermatology diagnostics.

Skin problems like acne, dry skin, and nail and hair changes are common in patients taking EGFR inhibitors.

HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.

This abstract lists numerous topics and classifications related to drug-induced dermatological conditions and treatments but does not convey new research findings.

Hair shaft disorders often indicate genetic or systemic issues and are managed by minimizing damage.

This chapter provides a comprehensive review of androgenetic alopecia, covering its key physiological mechanisms, diagnostic methods, and a variety of treatment options ranging from topical therapies to aesthetic and regenerative procedures, emphasizing recent advances observed in dermatological practice.

This article discusses the classification of mental retardation based on IQ ranges and provides no new experimental findings.