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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.

This study found an increased risk of asthma and allergic rhinitis in individuals with hidradenitis suppurativa.

This study reviewed the use of self-supervised Auto ML models for detecting alopecia areata, finding significant advancements in automated diagnosis but also challenges such as model explainability and data bias, which may guide future AI-driven dermatological diagnostics.

A deep learning model accurately detects early hair loss signs using scalp images.

Among 255 subjects with diabetes, this study found an 88.4% prevalence of skin conditions and 15.7% prevalence of nail manifestations, linked with factors like age and disease duration.

Dermatologists help detect gender-based violence by identifying skin signs of abuse.

This review highlights recent advances in dermatology, including innovations in skin cancer treatments, acne and psoriasis management, trends in cosmetic procedures, and the impact of telemedicine, emphasizing ongoing research's role in enhancing patient care and outcomes.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

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.

This study found that dermatoses are common in people living with HIV and may serve as indicators of disease stage, with certain conditions more prevalent when CD4+ counts are below 200/mm³.

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 how ophthalmic findings can reveal key endocrine disorders and reports no new clinical results, emphasizing the eye's role in diagnosing and managing systemic diseases like diabetes and Graves' ophthalmopathy.

This study introduces AlopeciaDet, a novel feature fusion technique, using camera images to detect Alopecia Areata with 99.45% accuracy, outperforming existing methods by leveraging CRSHOG and ResNet-50 features.

This study discusses the potential of advanced imaging technologies in dermatology to improve diagnostic accuracy and reduce the need for invasive procedures like biopsies, while noting significant barriers in adoption and accessibility in India due to costs and infrastructure constraints.

The book details skin conditions in older adults, their link to mental health, cancer treatment importance, hair loss remedies, and managing autoimmune and itchy skin.

This review discusses the interplay between endocrinology and dermatology in PCOS, highlighting the roles of hyperandrogenism, insulin resistance, and chronic inflammation in related skin conditions, but reports no new clinical results.

This review provides an overview of skin manifestations associated with substance use disorder but reports no new clinical findings; the authors emphasize the importance of dermatological evaluation and multidisciplinary care in managing these cases.

Skin changes can help identify eating disorders early.

The document lists various dermatology topics, treatments, and diagnostic methods.

This study identifies comedonal or cystic fibrofolliculomas as novel diagnostic clues for earlier recognition of Birt-Hogg-Dube syndrome, potentially facilitating timely surveillance of associated systemic complications.

The April 2016 JEADV issue covered various dermatology topics, including psoriasis, psoriatic arthritis, mTOR inhibitors, autoimmune diseases, photodynamic therapy, viral DNA in skin diseases, chronic hand eczema, and female hair loss.

This study identified distinct dermoscopic patterns associated with different types of scalp tumors, highlighting variability in lesions related to patient age, gender, and tumor thickness.

In this retrospective study, the researchers found that infectious dermatologic conditions were most common among renal transplant recipients, with viral warts being the prevalent infectious condition, while increasing age and sex were associated with varying odds of developing different dermatologic issues.

This review discusses common skin conditions in primary care settings and provides guidance on differential diagnoses and selecting appropriate topical treatments, but it reports no new clinical results.

This review discusses the importance of recognizing and treating psychiatric conditions in dermatology patients, offering practical recommendations for dermatologists to manage psychocutaneous diseases effectively, but reports no new clinical results.

This study found that radiofrequency microneedling is effective and well-tolerated for improving various skin conditions, showing comparable efficacy to fractional lasers for atrophic acne scars with generally favorable patient satisfaction and safety.

This review explores psychodermatology and platelet-rich plasma as complementary approaches for enhancing patient-centered care in dermatology, reporting no new results but highlighting their potential to improve outcomes and quality of life.

This article describes a case of possible kerosene and diesel-induced skin injury in an asylum seeker and presents a template for dermatological assessments in similar cases, but reports no new clinical findings.

This review discusses the therapeutic and pharmacological potential of total glucosides of paeony in dermatological treatment and notes the need for more rigorous scientific studies.

This paper presents a new method using Convolutional Neural Networks for detecting hair and scalp diseases, aiming to enhance diagnostics accessibility through a web-based platform integration.