research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
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30-60 / 1000+ results research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Trichoscopy for common hair loss diseases: Algorithmic method for diagnosis
The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
research Management of alopecia areata: Updates and algorithmic approach
New treatments for alopecia areata show promise, but no cure exists and responses to treatments vary.
research Short anagen syndrome: A case series and algorithm for diagnosis
Biotin, alone or with minoxidil, effectively treats short anagen syndrome.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research INDIVIDUAL ARTICLE: USCOM V: A Practical Algorithm for the Prevention and Treatment of Cutaneous Side Effects of Hormonal Cancer Therapy
A new method helps manage skin side effects from hormonal cancer therapy, improving patient care.
research A modified Sobel filter-based automated numerical algorithm enables immediate trichoscopic assessment of hair diameter diversity in male and female pattern hair loss
A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Microsporum canis-Induced Tinea Capitis: A Rapid Screening Algorithm
A rapid screening method using trichoscopy and clinical data can improve diagnosis and treatment of tinea capitis.
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 Superficial temporal artery flap for reconstruction of complex facial defects: A new algorithm
The superficial temporal artery flap is a reliable method for reconstructing complex facial defects with minimal complications.
research Management of High-energy Avulsive Ballistic Facial Injury: A Review of the Literature and Algorithmic Approach
Early surgical treatment for severe facial injuries from high-energy impacts leads to better recovery.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research Treatments for Dissecting Cellulitis of the Scalp: A Systematic Review and Treatment Algorithm
More research is needed to find the best treatment for dissecting cellulitis of the scalp.
research Androgenetic Alopecia: Narrative Review of Current Therapies and Proposal of a Practical Algorithm for Pharmacological Treatment
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research The state‐of‐the‐art in the management of androgenetic alopecia: A review of new therapies and treatment algorithms
New and existing treatments for hair loss show promise, with some being more effective for men and others for women.
research The Scalp as a Donor Site in Pediatric Burns: Systematic Review of the Literature and Proposal of a Management Algorithm
The scalp is a safe and effective donor site for skin grafts in children with burns.
research CHROMALENS PRECISION MAPPING AS AN INNOVATIVE SYSTEM FOR MICROZONAL HAIR ANALYSIS: STRUCTURE, ALGORITHM, AND COMPARISON WITH CLASSICAL COLORING TECHNIQUES
research Metabolic syndrome and the skin: a more than superficial association. Reviewing the association between skin diseases and metabolic syndrome and a clinical decision algorithm for high risk patients
Some skin conditions may indicate metabolic syndrome, which could help with early detection and management of related health issues.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Drug-induced hair colour changes
Some medications can cause rare hair color changes, and reporting these side effects is important for patient quality of life.
research Non-invasive Approaches for the Diagnosis of Autoimmune/Autoinflammatory Skin Diseases—A Focus on Psoriasis and Lupus erythematosus
Non-invasive methods show promise for diagnosing skin diseases like psoriasis and lupus but need more research for regular use.
research Primary scalp alopecia: new histopathological tools, new concepts and a practical guide to diagnosis
The document concludes that new methods improve the accuracy of diagnosing scalp alopecia and challenges the old way of classifying it.
research Acne scars: Classification and treatment
The book concludes that treating acne scars requires a variety of methods and patience, with no single best way to classify or treat them.
research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.