research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia Using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
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research Generative Adversarial Networks for Anonymous Acneic Face Dataset Generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
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 Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
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 Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Knockout of the ING5 Epigenetic Regulator Confirms Roles in Stem Cell Maintenance and Tumor Suppression In Vivo
ING5 is crucial for stem cell maintenance and preventing certain cancers.
research Hair Cluster Detection Model Based on Dermoscopic Images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Imaging Tools for Noninvasive Hair Assessment
New imaging tools help doctors better examine hair and scalp health without surgery.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Optimizing Skin Disease Diagnosis: Harnessing Online Community Data With Contrastive Learning and Clustering Techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Oxytocin Receptor Is Present in Keratinocytes Near Touch and Pain Sensory Neurons
Oxytocin receptors are found in skin cells near touch and pain neurons.
research Spironolactone for Treatment of Concomitant Female Pattern Hair Loss in Scarring Alopecia Patients
Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.
research Impact of Artificial Intelligence on Healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research How Good Is Artificial Intelligence 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 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.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Glycogen Phosphorylase Inhibitor Promotes Hair Growth via Protecting from Oxidative Stress and Regulating Glycogen Breakdown in Human Hair Follicles
A new compound, HTPI, promotes hair growth by protecting cells from damage and regulating energy use.
research Strategies for Optimizing Acute Burn Wound Therapy: A Comprehensive Review
Advanced techniques and technologies can improve burn wound healing, but more research is needed.
research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology, and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Review on Polycystic Ovarian Syndrome (PCOS) in Case of Pregnancy
Women with PCOS face many health risks, but exercise, a healthy diet, and weight management can help.
research Can Artificial Intelligence Hold a Dermoscope?—The Evaluation of an AI Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
research Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.