research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
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30-60 / 1000+ results research A Current Diagnostic and Therapeutic Challenge: Tinea Capitis
Early recognition and treatment of tinea capitis are crucial to prevent severe scalp issues and prolonged therapy.
research Sertoli–Leydig cell tumors: hormonal profile after dynamic test with GnRH analogue: triptorelin represents a useful tool to evaluate tumoral hyperandrogenism
Triptorelin helps evaluate hormone production in Sertoli-Leydig cell tumors.
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 Advances of Microneedles for Cancer Diagnosis and Therapy
Microneedles show promise for cancer diagnosis and treatment due to their minimally invasive nature and effective drug delivery.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
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 Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research Unraveling the impact of miRNAs on gouty arthritis: diagnostic significance and therapeutic opportunities
miRNAs could help diagnose and treat gouty arthritis.
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 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 Patient Perspectives regarding Artificial Intelligence-Driven Trichoscopy for Alopecia Evaluation
Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
research Exosomes in Dermatology: Biological Functions and Clinical Applications.
Exosomes can be used for diagnosing and treating skin conditions and improving skin health.
research Advances in Longevity: The Intersection of Regenerative Medicine and Cosmetic Dermatology
Cosmetic dermatology is improving with new technologies but faces ethical and regulatory challenges.
research Artificial intelligence in trichology - usage and prospects
AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
research Exploring Hirsutism: Epidemiology, Associated Endocrinal Abnormalities, and Societal Challenges in GCC—A Narrative Review
Hirsutism in GCC countries is influenced by genetics, obesity, and lifestyle, with cultural stigma delaying treatment, highlighting the need for tailored health strategies.
research Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies
Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
research Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
MicroRNAs and AI can improve cashmere goat hair quality and aid in hair disorder diagnosis.
research THE POTENTIAL OF AI TO ENHANCE MEDICAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
research Case report: A novel splice-site mutation of MTX2 gene caused mandibuloacral dysplasia progeroid syndrome: the first report from China and literature review
A new MTX2 gene mutation caused a severe genetic disorder in a young Chinese girl.
research Diagnostic Modalities in Trichology - An Update
New hair and scalp disease diagnosis methods are important for correct treatment.
research Trichoscopy: A Useful Tool in Diagnosing Temporal Triangular Alopecia
Trichoscopy effectively diagnoses temporal triangular alopecia in children.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
research Microneedles: A Promising Therapeutic Strategy for Next-Generation Drug Delivery, Diagnosis and Biosensing
Microneedles offer a painless, precise, and versatile method for drug delivery and disease treatment.
research Síndrome de ovario poliquístico: la distancia anogenital como marcador del entorno androgénico prenatal y revisión y comparación de los criterios diagnósticos
Longer anogenital distance may indicate a higher chance of having polycystic ovary syndrome, and measuring this distance along with hormone levels could improve diagnosis.
research Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
research Advancements in Dermatological Imaging Modalities
New imaging technologies improve skin diagnosis but face cost and training challenges.
research ZASTOSOWANIE SZTUCZNEJ INTELIGENCJI W ECHOGRAFII SERCOWEJ: KORZYŚCI I RYZYKO
AI in heart scans improves diagnosis and treatment but has risks like misdiagnosis and high costs.