5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
3 citations
,
November 2017 in “The American Journal of Cosmetic Surgery” The new Cosmetic Surgery Scar Assessment Scale (CSSAS) was found to be simple and effective in evaluating scars from hair restoration surgeries.
1 citations
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June 2020 in “British Journal of Dermatology” The new measure helps understand the personal and emotional impact of hair loss in alopecia areata patients.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
6 citations
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March 1998 in “Textile Research Journal” Chemical treatments can change the scale heights of wool and cashmere fibers, affecting their identification.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
1 citations
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April 2024 in “Lasers in Surgery and Medicine” The model helps improve medical devices by showing how skin deforms under pressure.
October 2023 in “The Journal of Dermatology” The HSVS-A is an effective tool for quickly screening hair shedding in Asian women.
February 2026 in “Cureus” Two methods reliably measure scalp area and hair count.
13 citations
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January 2012 in “Dermatologic surgery” The trichometer is a quick and reliable tool for measuring hair quantity.
6 citations
,
January 2020 in “Open Journal of Psychiatry” The Greek DCQ is a reliable and valid tool for assessing dysmorphic concern.
2 citations
,
January 2006 in “Technical report” The document concludes that better tools are needed to measure skin disease severity in dermatomyositis and cutaneous lupus erythematosus, and introduces the DSSI and CLASI as reliable instruments.
February 2026 in “Australasian Journal of Dermatology” A new tool simplifies alopecia areata severity scoring but needs validation.
32 citations
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April 2015 in “British Journal of Dermatology” The hair shedding scale accurately identifies abnormal hair shedding in women with long hair, with grades 5 and 6 indicating excessive shedding.
2 citations
,
January 1994 in “Journal of S C C J” The study concluded that certain hair growth measurements are good indicators of baldness severity and provide a more accurate assessment than subjective grading.
9 citations
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January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
1 citations
,
November 2025 in “International Journal of Dermatology” The AAcQLI is a promising tool for assessing quality of life in children with alopecia areata.
1 citations
,
May 2016 in “Dermatologic Surgery” The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
14 citations
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June 2022 in “British Journal of Dermatology” A SALT score of ≤ 20 indicates meaningful improvement in alopecia areata treatment.
July 2024 in “Medical alphabet” The SBN system effectively assesses alopecia areata severity and predicts its course.
288 citations
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June 2009 in “Human reproduction update” The modified Ferriman-Gallwey method is a useful tool for diagnosing hirsutism.
Excluding alopecia and mucous membrane components from the CLASI-A score reduces its effectiveness in capturing important disease activity.
November 2006 in “評価・診断に関するシンポジウム講演論文集” KSR1 is crucial for certain skin tumor formation and could be a cancer therapy target.
4 citations
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March 2015 in “Skin Research and Technology” Trichotillometry is a reliable method to measure hair strength and assess hair loss treatments.
The atlas maps maize peptides, showing complex regulation and varied roles across tissues and stages.
3 citations
,
November 2023 in “BMC Public Health” Both EQ-5D-5L and SF-6DV2 are valid for measuring health but can't be used interchangeably.
7 citations
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July 2024 in “Dermatology Practical & Conceptual” SII is a useful and affordable tool to assess and monitor alopecia areata.
3 citations
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.