research Advanced Scalp Measurement Using a Phototrichogram With a Protractor and Tapeline
The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
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30-60 / 1000+ results research Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy
Standardized de-facing protocols can prevent identification from anonymized MRI images, enhancing privacy protection.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Epidemiological, Clinical, and Trichoscopic Features of Syphilitic Alopecia: A Retrospective Analysis and Systematic Review
About 11% of patients with secondary syphilis had Syphilitic Alopecia, which usually improved with treatment.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
research Long-Term Effectiveness and Safety of Dutasteride versus Finasteride in Patients with Male Androgenic Alopecia in South Korea: A Multicentre Chart Review Study
Dutasteride is more effective than finasteride for long-term hair growth in men with androgenic alopecia.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Evaluación de la eficacia y seguridad del tratamiento tópico y del tratamiento oral en la alopecia androgenética y hormonal
The treatment effectively promoted hair growth with minimal side effects.
research Philological Obfuscation
The author believes that giving medical conditions official names can sometimes overwhelm or scare patients.
research Male balding is a major risk factor for severe COVID-19
Men with severe balding have a higher risk of getting very sick from COVID-19.
research Dermatologic Signs in Patients with Eating Disorders
Eating disorders like anorexia and bulimia cause skin problems, and dermatologists can help detect these disorders early for better treatment outcomes.
research Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometrical & Structural Mechanical Parameters
New methods to classify curly hair types were developed based on shape and strength.
research Psychological burden of alopecia areata in patients with cancer: A narrative review
Alopecia areata causes significant psychological distress in cancer patients, needing integrated care.
research Long-acting microneedle formulations
Microneedles are promising for long-acting drug delivery and can improve patient compliance, but more data is needed to confirm their effectiveness.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Raman spectroscopy reveals biophysical markers in skin cancer surgical margins
Raman spectroscopy can help identify cancerous skin tissue during surgery.
research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research The Trotter collection: A review of Mildred Trotter 's hair research and an update for studies of human variation
Hair traits vary widely and are not reliable indicators of ancestry.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
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 Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.