research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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120-150 / 1000+ resultsresearch Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
research Ewha Medical Journal’s inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue
The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
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 Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research EMOTIONAL INTELLIGENCE MEASUREMENT SELECTING
Emotional intelligence needs different measurement tools than IQ.
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 Examining the Relationship between Alopecia Areata, Androgenetic Alopecia, and Emotional Intelligence
Alopecia patients struggle with emotions and stress, and improving emotional intelligence may help manage hair loss.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research 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 Innovative Approaches to the Assessment of Alopecia Areata: Incorporating the SALT Index Through Transparent Devices
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
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 Innovative approaches to baldness detection and management with artificial intelligence and machine learning
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 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 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.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
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 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 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 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 Computer aided classification of female androgenetic alopecia-an image processing and analysis system
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 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 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 246 Development of an assessment tool for psychological health and help-seeking in alopecia areata patients in underserved communities
The document concludes that a new questionnaire to assess mental health in alopecia patients shows low rates of seeking mental health services and support groups.
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 Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.