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This article reviews the diagnosis and treatment approaches for cutaneous manifestations of PCOS, reporting on various treatment options without presenting new clinical results.

A combined medical and aesthetic approach is crucial for effectively managing PCOS and its skin-related issues.

This consensus from the Taiwanese Dermatological Association suggests that for mild to moderate alopecia areata, first-line treatments may include topical or intralesional corticosteroids, possibly with topical minoxidil, while severe cases might require systemic corticosteroids or Janus kinase inhibitors.

In this study, the COVID-19 pandemic was associated with increased diagnoses of acne and telogen effluvium, particularly among patients with COVID-19, at a New York City hospital system.

This review examines the prevalence and symptoms of polycystic ovary syndrome (PCOS) across different ages, highlighting its varied dermatological and reproductive implications, but reports no new research findings.

In this case report, a 74-year-old woman with progressive alopecia unresponsive to minoxidil was diagnosed with Graham-Little-Piccardi-Lassueur Syndrome, illustrating the value of interdisciplinary collaboration in primary care for accurate diagnosis and improved patient outcomes.

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 case report details an extremely low-birth-weight preterm neonate presenting with unique dermatologic symptoms, leading to a diagnosis of neonatal inflammatory skin and bowel disease due to a novel homozygous EGFR gene mutation, highlighting the importance of genetic testing in ambiguous cases.

This article presents diagnostic and therapeutic recommendations for cutaneous lupus erythematosus from the Polish Dermatological Society, but reports no new clinical findings.

This study highlights the potential benefits of combining dermoscopy with natural oil blends to improve the treatment of skin disorders and enhance patient compliance, but it emphasizes the need for further large-scale research to optimize these approaches in dermatology.

This review discusses dermatologic manifestations of COVID-19, highlighting the possibility that skin signs might be the initial indicators of infection, though it reports no new clinical results.

This study conducted at Madras Veterinary College found that tick infestation was the most frequent diagnosis among hospitalized dogs with dermatological issues, with ectoparasiticides prescribed in 73% of cases.

There are two main types of alopecia areata with different severity, and diagnosis is made through clinical examination and trichoscopy, influencing treatment choices.

This report discusses a late-onset case of Cronkhite-Canada syndrome that improved with prednisone treatment, highlighting the importance of early diagnosis to reduce life-threatening complications.

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 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.

This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.

Cancer treatments can cause skin-related side effects that may affect patient quality of life and require changes in treatment.

This study suggests that while AI shows promise as a diagnostic tool for assessing disease severity in dermatology, understanding its limitations is essential before broad clinical adoption, and it identifies gaps in research that need addressing.

This study found that 7.9% of dermatological outpatients at a German hospital had clinically relevant body dysmorphic concerns, highlighting the need for psychotherapeutic support due to poor social adaptation and high motivation for change.

This research addresses the common concern of hair loss, often seen in post-COVID syndrome and other systemic conditions, and highlights uncertainties around its causes, diagnostic criteria, and the necessity for medical consultation, with implications for patient psychological wellbeing.

This paper explores the emerging field of plasma medicine and its demonstrated effectiveness in treating chronic wounds, infections, and cancer, while highlighting challenges and opportunities for integrating plasma technologies into healthcare practices globally.

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.

This review discusses the pathophysiology, diagnosis, management, and psychosocial impact of skin manifestations in PCOS and emphasizes the need for holistic, personalized care without reporting new results.

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 review suggests that exosomes have potential as effective carriers for treating skin conditions like psoriasis, acne, eczema, and skin cancer by delivering therapeutic agents while minimizing side effects; the authors discuss their composition, uptake mechanisms, and clinical applications.

EfficientNet improves accuracy in diagnosing hair loss stages.

An integrative approach combining medical, nutritional, and lifestyle changes effectively manages female pattern hair loss.

This study documented that a CNN-KNN hybrid model achieved 98% accuracy in predicting hair breakage levels due to Telogen Effluvium, highlighting its potential for enhancing diagnosis and treatment in clinical dermatology through early detection of hair-related conditions.

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