research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
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research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
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 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 AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Artificial Intelligence in Hair Disorders: A Narrative Review
AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise routines to improve skin health.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise to improve skin health.
research Advances in 3D Printed Bone Implants: Smart Responsive Antibacterial Strategies and AI-Driven Design
3D printed bone implants are becoming more effective with smart antibacterial strategies and AI design.
research ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION
AI can help diagnose women's metabolic disorders earlier but must be used carefully to avoid bias.
research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
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 Balancing Benefits and Limitations of Artificial Intelligence in Cosmetic Surgery
AI improves cosmetic surgery but requires ethical and legal oversight to ensure safe use.
research Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
research Modern Polycystic Ovary Syndrome (PCOS) Management: Intelligent Drug Delivery and Metabolic Reprogramming for Ovarian Restoration and Fertility Optimization
New treatments for PCOS using smart drug delivery, metabolic changes, and AI show promise but need more research.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Is thyrotropin-releasing hormone a novel neuroendocrine modulator of keratin expression in human skin?
Thyrotropin-releasing hormone may help control skin and hair growth and could aid in treating related disorders.
research The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
research Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Autonomous Robotic Surgery: Has the Future Arrived?
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
research Repurposing of Drugs as Novel Influenza Inhibitors From Clinical Gene Expression Infection Signatures
A blood pressure drug, diltiazem, may also help treat influenza.
research Hypothalamic–Pituitary–Thyroid Axis Hormones Stimulate Mitochondrial Function and Biogenesis in Human Hair Follicles
HPT axis hormones boost mitochondrial function and growth in hair follicles, potentially aiding hair health.
research “Cellularity as a predictive tool for mesenchymal stem cell concentration in bone marrow concentrates: Implications for regenerative medicine”
Cellularity can estimate mesenchymal stem cell concentration in bone marrow, aiding regenerative medicine.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.