research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
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180-210 / 1000+ results 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 Devices and genomic therapies
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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 DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
research Alopecia Areata Incognita: Current Evidence
Alopecia areata incognita causes sudden hair loss but usually improves with topical steroids.
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 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 Chaos and antichaos in pathology
Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
research Serenoa repens (Saw palmetto) for Lower Urinary Tract Symptoms (LUTS): The Evidence for Efficacy and Safety of Lipidosterolic Extracts. Part I
Saw palmetto extract is generally safe and can effectively treat Lower Urinary Tract Symptoms, but its evaluation is affected by varying quality and a need for long-term studies.
research Transcriptomes reveal microRNAs and mRNAs in different photoperiods influencing cashmere growth in goat
Different amounts of daylight affect cashmere growth in goats by changing the activity of certain genes and molecules.
research The Gut-Scalp Axis: A Systematic Review of Dietary Interventions on Microbiome Dysbiosis in Scalp Disorders
Dietary interventions improved hair density and reduced dandruff by balancing scalp microbiota and reducing inflammation.
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 ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
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 PRACTICAL PEARL
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research Alopecia Areata Incognita
Alopecia areata incognita causes sudden hair thinning, responds well to steroids, and is more common in those with genetic hair loss conditions.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research androgenetic alopecia, n.
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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 How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
research Psychometric validation of the Spanish alopecia areata–life impact questionnaire
The SAALIQ is a reliable tool for measuring the impact of alopecia areata on Spanish-speaking patients' quality of life.
research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
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 La relación que presenta la calidad de vida y la condición física en un grupo de adultos mayores que realizan actividad física en Toluca, Estado de México.
Better physical condition leads to improved quality of life in older adults.
research A férfi és női testek medikalizációja a XIX. századtól napjainkig
Medicalization has shaped how society views health and gender roles over the past 200 years.
research Un asentamiento de la primera Edad del Hierro en el término de Raposal (Arnedo, La Rioja)
The early Iron Age settlement at Raposal shows diverse cultural influences and challenges previous ideas about settlement types in the Ebro Valley.
research The Telephone Translation Game: An Illustration of Translation Challenges
Translation can lead to misunderstandings in clinical research.