research A New Classification of Male Pattern Baldness and a Clinical Study of the Anterior Hairline
Researchers created a new system to classify male baldness, finding six types and a common hairline shape, to improve hair loss treatments.
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research The Ziering Whorl Classification of Scalp Hair
The conclusion is that creating natural-looking hair restoration requires replicating natural scalp whorl patterns and inserting grafts at specific angles.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
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 Evaluation of long‐term efficacy of finasteride in Korean men with androgenetic alopecia using the basic and specific classification system
Finasteride effectively treats hair loss in Korean men for at least 5 years, with V type responding better.
research How different is human hair? A critical appraisal of the reported differences in global hair fibre characteristics and properties towards defining a more relevant framework for hair type classification
Human hair varies widely and should be classified by curl type rather than race.
research ANTI-CANCER MEDICINS (CLASSIFICATION AND MECHANISMS OF ACTION)
Anti-cancer drugs are diverse and hard to classify due to their different forms and actions.
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 Five cluster classifications of long COVID and their background factors: A cross-sectional study in Japan
The study identified five types of long COVID symptoms and suggests tailored management strategies for each.
research A new classification of early female pattern hair loss
The new system helps detect and track early female hair loss better.
research The New Classification Criteria of Systemic Lupus Erythematosus
The 2012 SLICC criteria provide an updated method for classifying Systemic Lupus Erythematosus.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Curl pattern classification: A potential tool for communication and risk stratification
Classifying curl patterns might help doctors assess and treat hair loss better.
research Validation of International Classification of Diseases Codes for Dermatologic Conditions
ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.
research Reconsidering the classification of vitiligo and alopecia as cosmetic concerns in Medicaid and Tricare policies
Vitiligo and alopecia should be covered by Medicaid and TRICARE as medical, not cosmetic, conditions.
research New Proposed Classification for Psychodermatosis Based on the Complex Interaction Between the Brain and Skin
Psychodermatosis is reclassified based on brain-skin interaction, dividing conditions into psychogenic and psychosomatic categories.
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 Hair Transplant: Classification, Analysis, and Treatment Planning of Male Pattern Hair Loss and Newer Techniques in FUT Hair Restoration
Hair restoration surgery is becoming more common as male pattern baldness increases with age.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research The utility of the classification tools in National Institute of Health and Clinical Excellence’s Clinical Knowledge Summaries for primary care
Nearly half of the classification tools in the National Institute of Health and Clinical Excellence's Clinical Knowledge Summaries might not effectively guide management for general practitioners.
research Proposal for Clinical Classification of Cutaneous Manifestations in Covid-19 and in Post Vaccination Against Sars-Cov-2: An Observational Study
Most skin issues were due to COVID-19, with some caused by vaccines or treatments, and were categorized into five types.
research LO-010 Relationship between the EULAR/ACR classification criteria and organ damage in systemic lupus erythematosus
Higher EULAR/ACR scores in SLE patients predict more organ damage.
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 Depth control in follicular unit excision: A new classification from a detailed analysis of 30 patients undergoing FUE technique for hair restoration
A new classification for depth control in hair restoration surgery was proposed, dividing it into three grades based on the depth required for successful graft extraction.
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 The Ziering Whorl Classification of Scalp Hair
Craig Ziering created a system to classify scalp hair patterns, important for improving hair restoration surgery results.
research 8 Pathogenesis and Classification of Female Pattern Hair Loss
Female pattern hair loss affects many women and requires specialized care.
research 7 Pathogenesis and Classification of Male Pattern Hair Loss (Androgenic Alopecia)
Male pattern hair loss is mainly caused by genetics and hormones, especially DHT.