research Botulinum Toxin Off-Label Use in Dermatology: A Review
Botulinum toxin shows promise for various skin conditions but requires more research for confirmation and standardized use.
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210-240 / 1000+ results research Generation and characterization of hair-bearing skin organoids from human pluripotent stem cells
Scientists created hair-growing skin models from stem cells, which could help treat hair loss and skin diseases.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Sensitive Scalp and Trichodynia: Epidemiology, Etiopathogenesis, Diagnosis, and Management
Sensitive scalp causes discomfort and may relate to hair loss, with treatment focusing on scalp care and medication.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Lineage‐specific requirements of Alx4 function in craniofacial and hair development
ALX4 is crucial for normal craniofacial and hair development, with specific roles in different cell types.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
Certain gene variations increase male hair loss risk, influenced by hormone levels.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
ScalpViT accurately diagnoses similar scalp diseases with 94.3% accuracy.
research Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
ScalpViT accurately diagnoses similar-looking scalp diseases with 94.3% accuracy.
research Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
ScalpViT accurately diagnoses similar-looking scalp diseases with 94.3% accuracy.
research Vitadetect : Vitamin Deficiency Detection
VitaDetect uses AI to find vitamin deficiencies by analyzing images of nails, tongue, and skin.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
research From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
research Botulinum toxin effects on biochemical biomarkers related to inflammation-associated head and neck chronic conditions : a systematic review of clinical research
Botulinum toxin may reduce inflammation markers in head and neck conditions, but evidence is uncertain.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
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 Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research BRITISH ASSOCIATION OF DERMATOLOGY.
The meeting discussed various skin conditions, treatments, and unusual cases, highlighting the effectiveness of tetracycline in treating rosacea.