research Ewha Medical Journal’s inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue
The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
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30-60 / 1000+ results research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research SYNERGIA AI I MEDYCYNY: SZANSE I WYZWANIA
AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
research Hair Follicle-Related MicroRNA-34a Serum Expression and rs2666433A/G Variant in Patients with Alopecia: A Cross-Sectional Analysis
Higher miR-34a levels and the A variant of the MIR-34A gene are linked to increased risk and severity of alopecia areata.
research Bioinspired engineering ADSC nanovesicles thermosensitive hydrogel enhance autophagy of dermal papilla cells for androgenetic alopecia treatment
New treatment using engineered nanovesicles in hydrogel improves hair growth by repairing hair follicle cells in a mouse model of hair loss.
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 Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
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 A neuroendocrinological perspective on human hair follicle pigmentation
Brain hormones significantly affect hair color and could potentially be used to prevent or reverse grey hair.
research A bald statement - Current approaches to manipulate miniaturisation focus only on promoting hair growth
The conclusion is that future hair loss treatments should target the root causes of hair thinning, not just promote hair growth.
research A KRT71 Loss-of-Function Variant Results in Inner Root Sheath Dysplasia and Recessive Congenital Hypotrichosis of Hereford Cattle
A specific genetic change in the KRT71 gene causes a hair loss condition in Hereford cattle.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research 26 Characterization of a murine model of aa induced by adoptive transfer of cultured lymph node cells
The study developed a mouse model for Alopecia Areata that responds to treatment, useful for future research.
research Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors
The research found how GPCR Class A Rhodopsin receptors are related and suggested possible substances they interact with.
research Aging Skin: A Window to the Body
Skin aging reflects overall body aging and can indicate internal health conditions.
research Dermatologic Manifestations of Mitochondrial Dysfunction: A Review of the Literature
Mitochondrial dysfunction is linked to various skin conditions and could be a target for treatments.
research The Genus Astragalus Species as an Emerging Source of Bioactive Phytochemicals: A Review of Dermatological and Cosmetic Applications
Astragalus plants may improve skin health and have anti-aging benefits.
research Middle East Medicinal Plants in the Treatment of Diabetes: A Review
Some Middle Eastern plants may help treat diabetes and could be alternatives to current drugs, but more research is needed.
research Current Insight of Peptide-Based Hydrogels for Chronic Wound Healing Applications: A Concise Review
Peptide-based hydrogels are promising for healing chronic wounds effectively.
research Effects of Curcumin and Its Different Formulations in Preclinical and Clinical Studies of Peripheral Neuropathic and Postoperative Pain: A Comprehensive Review
Curcumin shows promise in reducing pain and inflammation, but more research is needed.
research Critical Analysis on Characterization, Systemic Effect, and Therapeutic Potential of Beta-Sitosterol: A Plant-Derived Orphan Phytosterol
Beta-sitosterol has potential health benefits but needs more research to fully understand its effects and improve its use in treatments.
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 Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
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 The Future of Aesthetic Medicine: Patient‐Centered Trends and Technologies with Dr. Face and Dr. Slim
Aesthetic medicine is focusing more on patient needs and using new technologies, but ethical issues and regulation challenges need attention.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.