research SZTUCZNA INTELIGENCJA W LECZENIU STOPY CUKRZYCOWEJ
AI can improve early diagnosis and treatment of diabetic foot complications but requires addressing training and ethical challenges.
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research Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research POSTĘP W DIAGNOZIE I LECZENIU STWARDNIENIA ROZSIANEGO
AI and advanced technologies are improving medical diagnostics and treatments.
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 Imaging Tools for Noninvasive Hair Assessment
New imaging tools help doctors better examine hair and scalp health without surgery.
research Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
research Insights into the Diagnostics and Therapeutics of Alopecia Areata—An Indian Context
Improved diagnosis and affordable topical treatments are essential for managing alopecia areata in India.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions
Personalized treatments for hair loss focus on specific genetic and biological pathways.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
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 Post-partum pituitary insufficiency and livedo reticularis presenting a diagnostic challenge in a resource limited setting in Tanzania: a case report, clinical discussion and brief review of existing literature
Early diagnosis and hormone therapy can significantly improve outcomes for post-partum pituitary insufficiency in resource-limited settings.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research 48853 The AI Doctor will see you now: Can ChatGPT-4 be used to safely counsel patients with allergic contact dermatitis?
ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
research The Use of Imaging Techniques in the Diagnosis of Dermatoses of the Scalp
Non-invasive imaging techniques improve scalp condition diagnosis and patient quality of life.
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 Biomarkers in alopecia Areata: A systematic review and meta-analysis.
High levels of IL6 and CRP, and low levels of vitamin D, might be indicators of alopecia areata.
research Alopecia Areata of the Nails: Diagnosis and Management
Alopecia Areata can affect nails, often improving on its own, but JAK inhibitors may help.
research Extracellular Vesicles in Alzheimer’s Disease: Dual Roles in Pathogenesis, Promising Avenues for Diagnosis and Therapy
Extracellular vesicles can worsen Alzheimer's but also offer potential for diagnosis and treatment.
research Taiwanese Dermatological Association consensus on the diagnosis and management of alopecia areata
Experts recommend personalized treatment plans for alopecia areata, using corticosteroids and minoxidil for mild cases, and stronger medications for severe cases.
research Subclinical Atherosclerosis in Alopecia Areata: Usefulness of Arterial Ultrasound for Disease Diagnosis and Analysis of Its Relationship with Cardiometabolic Parameters
Alopecia areata patients have a higher risk of subclinical atherosclerosis, and carotid ultrasound can help assess their cardiovascular risk.
research MiR‐200c‐3p as a novel genetic marker and therapeutic tool for alopecia areata
miR-200c-3p could help diagnose and treat alopecia areata.
research Prevalence of Metabolic Syndrome among Apparently Healthy Adult Population in Pakistan: A Systematic Review and Meta-Analysis
Many healthy adults in Pakistan have Metabolic Syndrome, with key risks being high triglycerides, low HDL cholesterol, and belly fat.
research Cutaneous Manifestations in Autoimmune Polyendocrinopathy-Candidiasis-Ectodermal Dystrophy (APECED): A Comprehensive Review
The review shows that skin symptoms like chronic fungal infections, hair loss, and skin depigmentation are key for early detection and management of APECED.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Scarring Alopecias: Pathology and an Update on Digital Developments
New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
research A bibliometric analysis of strabismus (from 2004 to 2023)
Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.
research What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.