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- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Hair and scalp disease detection using deep learning
- Polycystic ovary syndrome: pragmatic management across levels of care
- Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
- Understanding hair disorders through artificial intelligence: DALLE's role in image creation
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Androgenetic alopecia and emotional impact: a perspective from dermatological nursing and aesthetic care
- A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Dermatological, Trichological and Quality of Life Consequences of GLP ‐1 Receptor Agonist‐Mediated Weight Loss: A US Cross‐Sectional Survey
- Validity and Advantages of Three-Dimensional High-Frequency Ultrasound in Dermatological Evaluation
- A Review of the Most Common Dermatologic Conditions and their Debilitating Psychosocial Impacts
- A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
- ALOPÉCIA CICATRICIAL E SÍNDROME RARA: DESAFIOS DIAGNÓSTICOS EM DERMATOLOGIA NA ATENÇÃO PRIMÁRIA À SAÚDE
- Montagna Symposium 2013—Light and Skin: How Light Sustains, Damages, Treats, Images and Modifies Skin Biology
- Exossomos na Dermatologia: revisão de sua ação em doenças cutâneas e rejuvenescimento
- Fármacos de uso frecuente en dermatología como terapia para COVID-19
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- Dermatologists’ perceptions on the utility and limitations of teledermatology after examining 55,000 lesions
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Psychological burden of alopecia areata in patients with cancer: A narrative review
- Clinical management of cutaneous adverse events in patients on targeted anticancer therapies and immunotherapies: a national consensus statement by the Spanish Academy of Dermatology and Venereology and the Spanish Society of Medical Oncology
- Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
- Alopecia – focus on negative emotional impact
- Clinical Management of Cutaneous Adverse Events in Patients on Chemotherapy: A National Consensus Statement by the Spanish Academy of Dermatology and Venereology and the Spanish Society of Medical Oncology
- The psychological consequences of androgenetic alopecia: A systematic review
- Comparative Outcomes of Cutaneous Vesicostomy Versus Cystoscopic Valve Ablation in the Initial Management of Posterior Urethral Valves
- Absolute Dermatology Review