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.
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research Clinical photography for trichology practice: Tips and tricks
Use good lighting, consistent positioning, and proper camera settings for effective hair disorder photos.
research Commercial and Open‐Source Systems
Commercial and open-source light sheet microscopy systems have advanced through engineer-scientist collaborations, improving imaging quality.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Scalp imaging techniques
Different scalp imaging methods are important for studying hair and scalp health and require more volunteers for better evaluation.
research Cosmetic assessment of the human hair by confocal microscopy
Confocal microscopy is better than scanning electron microscopy for studying hair in its natural state and understanding hair products' effects.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% 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 Preparation of Mohs Micrographic Surgery Frozen Sections: Three New Pearls Leading to a Simplified, More-Effective Process
Three new techniques simplify and improve the preparation of tissue samples for skin cancer surgery.
research Electron beam tomography quantitation of coronary calcium and assessment for ischemic coronary disease: a complement to stress testing
Electron Beam Tomography (EBT) is a useful additional test to stress testing for detecting heart disease.
research Measuring changes in chemistry, composition, and molecular structure within hair fibers by infrared and Raman spectroscopic imaging
Infrared and Raman imaging can non-destructively analyze hair structure and help diagnose hair conditions.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research 686 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI is a valuable method for studying drug penetration in skin tissues.
research Innovative Approaches to the Assessment of Alopecia Areata: Incorporating the SALT Index Through Transparent Devices
research Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research Implementing Outpatient Screening of Adult Patients at High Risk for Peripheral Artery Disease
Integrating ABI screening in clinics can improve patient care for those at risk of peripheral artery disease.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise to improve skin health.
research Quantitative Analysis of the Characteristics between Normal Controls and Androgenetic Alopecia in Korean Using the Simple Hand-held Phototrichogram System
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research Topological Markers for Subcellular Chemical Mapping using TOF-SIMS
TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
research In vivo imaging: shining a light on stem cells in the living animal
New imaging technologies help us see how stem cells work in living animals.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Trichoscopy of Central Centrifugal Cicatricial Alopecia: A Retrospective Study and Literature Review
Early diagnosis with trichoscopy can improve management and quality of life for CCCA patients.
research Use of Robotic Systems in Aesthetic/Cosmetic Plastic Surgery—A Review Article
Robotic systems in cosmetic surgery are promising but need more development and research.
research Study of Digital Video Microscopy in the Diagnosis of Non-Scarring Alopecia
Digital video microscopy is a useful non-invasive tool for diagnosing non-scarring alopecia.
research Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
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.