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Research 31–60 of 43
- Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
- Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
- Artificial intelligence in dermatology: а scoping review
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- Investigating Different Deep learning Models for Classification of Folliculitis
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- Scalp disease analysis using deep learning models
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
- Quantitative analysis and development of alopecia areata classification frameworks
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Skin aging: mechanisms, evaluation, and rejuvenation
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Sample collecting methods for bacterial community structure analysis of scalp hair: non-invasive swabbing versus intrusive hair shaft cutting