research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
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research Evaluation of the relationship of digital phototrichogram findings of patients with diffuse hair loss with blood TSH, ferritin and vitamin B12 levels
Low ferritin levels are linked to increased hair loss; no link found between vitamin B12, TSH levels, and hair loss.
research SZTUCZNA INTELIGENCJA SI W NACZYNIOWEJ CHIRURGII, TERAŹNIEJSZOŚĆ I PRZYSZŁOŚĆ
AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
research Trichotillomania and Traction Alopecia
Hair pulling disorder is treated with therapy and medication; hair loss from tension can be reversed if caught early.
research The changing patterns of hair density and thickness in South Korean women with hair loss: clinical office-based phototrichogram analysis
South Korean women with hair loss have lower hair density and thickness compared to healthy women.
research Proceedings of the III International Scientific and Practical Conference
The conference emphasized innovative solutions for global challenges, including disaster architecture, education, health, and economic impacts.
research THE RELATIONSHIPS BETWEEN RUMINAL JUICE, URINE, SERUM AND FECAL ZINC IN EXPERIMENTALLY ZINC DEFICIENT OSSIMI LAMBS
Zinc levels in body fluids can help diagnose zinc deficiency in lambs, with fecal zinc as an early indicator.
research Validity and Advantages of Three-Dimensional High-Frequency Ultrasound in Dermatological Evaluation
3D high-frequency ultrasound can help diagnose skin and hair conditions without invasive biopsies.
research Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
research 192 Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D ultrasound can detect hair follicle changes and disease phases in alopecia areata.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
research ISID0192 - Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.
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 An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Immunohistochemical Analysis of the Mechanistic Target of Rapamycin and Hypoxia Signalling Pathways in Basal Cell Carcinoma and Trichoepithelioma
The study found that analyzing certain cell signaling pathways is not a reliable method to tell apart two types of skin tumors.
research Serum anti-Müllerian hormone as a predictor of polycystic ovarian syndrome among women of reproductive age
High levels of anti-Müllerian hormone can indicate polycystic ovarian syndrome in women who can have babies.
research Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives
Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
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 Using automated microneedling with platelet rich plasma for treating cicatricial alopecia, recalcitrant alopecia areata and traction alopecia, case report
Microneedling with platelet-rich plasma can improve different types of hair loss.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research The evaluation of online tools in the recruitment of dermatology patients for a research study
Online tools are effective and cost-efficient for recruiting dermatology research participants, especially among younger people.
research Congenital Adrenal Hyperplasia—Current Insights in Pathophysiology, Diagnostics, and Management
Early diagnosis and individualized treatment improve outcomes for Congenital Adrenal Hyperplasia.
research A Diagnostic Study of the Prevalence of Helicobacter pylori in Patients with Gastritis in Southern Iraq
Helicobacter pylori infection is common in Southern Iraq gastritis patients, affecting 64.1%.
research Trichoscopy in alopecias: Diagnosis simplified
Trichoscopy is a useful, non-invasive way to diagnose different types of hair loss.
research Diagnostic approach to low‐renin hypertension
Recent genetic insights show that low-renin hypertension includes a range from essential hypertension to secondary or familial forms, affecting diagnosis and treatment.
research Accuracy of clinical diagnosis and videodermoscopy in female pattern hair loss
Videodermoscopy better identifies female hair loss than clinical diagnosis.
research Diagnostic Criteria for PCOS
The conclusion is that a more comprehensive and precise approach is needed for diagnosing PCOS to address its broader health risks.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research Diagnosis and Management of Alopecia in Children
The guide explains how to identify and treat children's hair loss, including fungal infections, autoimmune disorders, hairstyle changes, self-correcting conditions, and behavioral therapy for hair-pulling.