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.
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180-210 / 1000+ resultsresearch The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials
The AA-IGA scale reliably measures treatment success in alopecia areata by considering both clinician and patient views.
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 Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
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 Artificial intelligence: revolutionizing robotic surgery: review
AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research SZTUCZNA INTELIGENCJA (AI). CZY TO JUŻ ŚWIT DLA SMART BEAUTY I SMART DERMATOLOGY?
AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
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 New Horizons: Surgical Robots Supported by Artificial Intelligence
AI-assisted surgical robots improve surgery precision and safety.
research Development of the AAcQLI : A New Instrument for Assessing Quality of Life in Children With Alopecia Areata
The AAcQLI is a promising tool for assessing quality of life in children with alopecia areata.
research Overcoming genetic drivers in alopecia areata: hair regrowth in a patient with AIRE gene mutation (autoimmune polyendocrinopathy–candidiasis–ectodermal dystrophy, APECED syndrome) treated with ruxolitinib
Ruxolitinib helped a patient with alopecia areata regrow hair.
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 Genotype-Phenotype Delineation of Autoimmune Polyendocrinopathy, Candidiasis, and Ectodermal Dystrophy in a Pediatric Patient: A Case Report
A new AIRE gene mutation causes rare autoimmune symptoms in a Lebanese boy.
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 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 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 596 Application of an artificial intelligence (AI) photographic device to track platelet-rich plasma treatment outcomes in females with alopecia
An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research INIBIDORES DA JANUS QUINASE PARA O TRATAMENTO DA ALOPECIA AREATA
JAK inhibitors effectively treat severe alopecia areata with manageable side effects.
research Autoinmune Alopecia/Alopecia Areata
New drugs, baricitinib and ritlecitinib, are effective for severe alopecia areata.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research Translation, cultural adaptation and validation of the Brazilian version of the Alopecia Areata Quality of Life Index (AA-QLI-BRA)
The Brazilian version of the Alopecia Areata Quality of Life Index is reliable for assessing patients' quality of life.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise to improve skin health.
research STRIAA (Severity TRichoscopy Index Alopecia Areata): Validation of a Novel Trichoscopic Tool for Evaluation of Alopecia Areata
The STRIAA tool helps doctors quickly and effectively assess the severity of Alopecia Areata.
research PŁYNY- NIE ZA DUŻO, NIE ZA MAŁO, LECZ W SAM RAZ
AI and new therapies show promise in medicine, especially for cancer and regenerative treatments.
research 0036 IL-27 generates immunosuppressive CD4 T cells and and prevents the development of alopecia areata
IL-27 may help prevent hair loss by creating immune-suppressing cells.
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.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
research Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.