research Measurement Instruments to Assess Quality of Life in Pediatric Patients With Alopecia Areata: A Systematic Review
Current tools inadequately measure quality of life in children with alopecia areata, needing better instruments.
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research Clinical Assessment of Alopecia Areata Severity and Validating the Patient Experience: A Vodcast
Clinicians should use evidence-based tools and consider mental health when assessing alopecia areata to guide treatment.
research Optimizing hair transplant outcomes: integration of AI, robotics, and stem cell therapies
New technologies like AI, robotics, and stem cells have made hair transplants more effective and natural-looking.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
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 QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Controversies: The ethical issue of automated FUE
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research BEYOND HAIR LOSS: EXPLORING THE EVOLUTION OF ANDROGENETIC ALOPECIA RESEARCH BASED ON TEXT MINING AND BIBLIOMETRICS
Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
research Assessment of Alopecia Areata Disease Severity in Pediatric Patients
New tools help doctors better assess and treat alopecia areata in kids by considering more than just hair loss.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
research Development of a Visual Extension of the Severity of Alopecia Tool (VESALT) for Alopecia Areata
VESALT improves alopecia areata assessment by including non-scalp areas and is reliable and user-friendly.
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 Generic vs. Disease-Specific Patient Reported Outcome (PRO) Instruments for Assessing HRQoL Burden Among Patients Diagnosed with Alopecia Areata: Evidence from TARGET-DERM AA
Disease-specific tools better assess quality of life in alopecia areata patients.
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 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 Development of a health-related quality of life questionnaire for women with androgenetic alopecia
WAA-QOL measures impact of hair loss on women's well-being.
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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 Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata
The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
research Autonomous Robotic Surgery: Has the Future Arrived?
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
research Visualizing Severity of Alopecia Tool (SALT) scores in the clinical setting using patient images from a clinical trial
The study helps doctors use patient images to understand and apply SALT scores for treating severe alopecia areata.
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 Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Validation of alopecia coding in US claims data among women of childbearing age
The algorithm accurately identified alopecia in women of childbearing age using claims data.
research An Evaluation of Generic and Disease‐Specific Patient‐Reported Outcome Measures to Assess the Impact of Percentage of Scalp Hair Loss on Health‐Related Quality of Life in a European Population
Disease-specific tools better assess alopecia areata's impact on quality of life.