April 2023 in “Journal of Investigative Dermatology” An automated system can predict death risk in thin melanoma by analyzing immune cells.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
3 citations
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July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
July 2025 in “Journal of Investigative Dermatology” Immune system changes may contribute to female pattern hair loss.
January 2026 in “AppliedMath” Pattern mode isolation improves the reliability and predictability of Turing patterns.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
15 citations
,
August 2020 in “Indonesian Journal of Electrical Engineering and Computer Science” The system can automatically classify scalp conditions with 85% accuracy.
3 citations
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July 2018 in “Journal of Cosmetic Dermatology” Ahmad's sharp scissor technique reduces hair follicle damage without taking more time.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
9 citations
,
January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
2 citations
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January 2016 in “Archives of Aesthetic Plastic Surgery” The technique effectively restores temporal peaks in hair transplants using different hair densities and angles in three zones.
30 citations
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May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
24 citations
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March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
OCT can effectively screen and diagnose various medical conditions non-invasively.
October 2025 in “Frontiers in Toxicology” A new method effectively predicts estrogen-related health effects for early screening.
September 2024 in “Journal of the American Academy of Dermatology” March 2026 in “Mendeley Data” March 2026 in “Mendeley Data” 25 citations
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November 2010 in “Journal of Molecular Structure” Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
12 citations
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May 2012 in “Journal of Biomedical Optics” Trichoscan® is best for measuring hair growth, RCM for analyzing hair follicles, and OCT is useful for both.
3 citations
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
9 citations
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February 2018 in “Journal of The American Academy of Dermatology” Researchers developed a new method using methylene blue staining to more accurately identify the growth stage of human hair follicles.