research Korean Consensus Criteria for the Severity Classification of Alopecia Areata
The criteria help doctors diagnose and treat alopecia areata more effectively.
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research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Rethinking the classification of alopecia areata
The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research Prevalence Of Male Balding Pattern In Patient From Saveetha Dental College- Retrospective Comparative Evaluation Study
Balding in men worsens with age.
research Alopecia areata - need for a revision in morphological classification and scoring
A new classification and scoring system is needed for alopecia areata to better assess severity.
research PRECISE Scale: a quantitative classification for androgenetic alopecia and its application to hair transplantation
The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.
research Dissecting folliculitis (dissecting cellulitis) of the scalp: a 66‐patient case series and proposal of classification
Researchers found that dissecting folliculitis of the scalp is linked to obesity, severity increases with duration and number of nodules, and early treatment is important to prevent scarring.
research Diagnostic and grading criteria for androgenetic alopecia using dermoscopy
New dermoscopic criteria accurately diagnose and grade the severity of hair loss in androgenetic alopecia.
research Hair diameter diversity: a clinical sign reflecting the follicle miniaturization.
Different thicknesses of hair strands can indicate the severity of hair thinning.
research Headcover and male-pattern hair loss: A cross-sectional study
Wearing headcovers doesn't affect male-pattern hair loss severity.
research Male pattern androgenetic alopecia in an Indian context: a perspective study
At least 87% of Indian men experience hair loss, with type II being most common and severity increasing with age.
research Androgenic alopecia in women: an Indian perspective.
Androgenic alopecia (AA) in Indian women is rarely reported, with varying severity and patterns, and hair pull tests and trichograms help understand it better.
research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
research Standardized classification tools in dermatology: time to focus on cutaneous warts
The CWARTS tool is a promising method for assessing warts and could improve treatment and research.
research BASP-Classification of Androgenetic Alopecia: Application Experience in Men
The M-type is the most common form of male hair loss, and the BASP-classification is easy for different medical professionals to use.
research 43569 BSA and special area involvement informs psoriasis disease severity in a real-world population: patient characteristics and treatment patterns
Including special area involvement helps identify more psoriasis patients who may need systemic treatment.
research The Cohen hair loss classification system
Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
research LB1012 The development of a pediatric alopecia areata treatment classification system based on results from a systematic review
Topical corticosteroids are recommended first for treating pediatric alopecia areata due to safety and ease of use.
research Peripheral blood gene expression in alopecia areata reveals molecular pathways distinguishing heritability, disease and severity
Blood tests can help understand the genetic differences in people with alopecia areata, including how severe it is and if it's inherited.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Semiology of skin toxicity associated with epidermal growth factor receptor (EGFR) inhibitors
Skin problems like acne, dry skin, and nail and hair changes are common in patients taking EGFR inhibitors.
research Significant relationship between temporal hair loss and other scalp areas in female pattern hair loss
Temporal hair loss relates to overall scalp hair loss in women.
research Comprehensive Evaluation of Neuropsychiatric and Mucocutaneous Manifestations in the Diagnosis of Systemic Lupus Erythematosus: A Complete Clinical Approach to a Case
Recognizing unusual brain and skin symptoms is crucial for diagnosing lupus early.
research Androgenetic alopecia in women
Hair loss in women, often not related to male hormones, increases with age and can cause significant emotional distress.
research Etiology and diagnosis of androgenetic alopecia
Hair loss is caused by genetics and hormones, diagnosed through examination and biopsy, and treated with medications or surgery.
research Male Pattern Androgenetic Alopecia
Androgens contribute to common male hair loss; more research needed for hair growth medication.