Using artificial intelligence to compute Severity of Alopecia Tool scores
April 2024
in “
JAAD International
”
Research cited in this study
2 / 2 results
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Epidemiology and Burden of Alopecia Areata: A Systematic Review
Alopecia areata is a common autoimmune disease affecting about 2% of people, causing significant disability and often associated with mental health issues and other autoimmune conditions.
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Similar Research
5 / 1000+ results
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
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 Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
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.