research Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
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150-180 / 1000+ resultsresearch Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research Assessing Quality of Life in Pediatric Alopecia Areata
The new tool helps measure the impact of alopecia areata on children's quality of life.
research Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
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 Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata
Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research BH15 The burden of alopecia areata: examining baseline health-related quality of life and clinical assessment tools
Alopecia areata greatly affects quality of life, especially mental health, and newer assessment tools better capture this impact than older ones.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
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 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 Quality of life measurement in alopecia areata. Position statement of the European Academy of Dermatology and Venereology Task Force on Quality of Life and Patient Oriented Outcomes
Use specific tools to measure quality of life in alopecia areata patients and improve future treatments.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
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 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 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 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 HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research Development of the Alopecia Areata Patient Priority Outcomes Instrument: A Qualitative Study
Researchers created a new tool to measure the effects of alopecia areata from the patient's view, focusing on hair loss, daily life, and emotional health.
research Development and validation of the Brigham Eyelash Tool for Alopecia (BELA): A measure of eyelash alopecia areata
The Brigham Eyelash Tool for Alopecia (BELA) is a reliable way to measure eyelash loss in alopecia areata patients.
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 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 Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
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 SZTUCZNA INTELIGENCJA W LECZENIU STOPY CUKRZYCOWEJ
AI can improve early diagnosis and treatment of diabetic foot complications but requires addressing training and ethical challenges.
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 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 427 Discerning patient perspectives towards specific treatments of alopecia areata using artificial intelligence
Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.
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 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.