1 citations
,
December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
1 citations
,
September 2015 in “Clinics in Dermatology” The guide helps doctors diagnose hair problems by suggesting a thorough patient history, physical exams, and various diagnostic tools.
January 2015 in “Hair therapy & transplantation” New hair and scalp disease diagnosis methods are important for correct treatment.
24 citations
,
January 2011 in “International Journal of Trichology” Light microscopy is useful for diagnosing different hair disorders.
September 2001 in “Emergency Medicine News” Hair testing is effective for detecting long-term drug use.
31 citations
,
August 2001 in “PubMed” TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
January 1994 in “Journal of the society of cosmetic chemists” June 2023 in “Zenodo (CERN European Organization for Nuclear Research)”
33 citations
,
March 2006 in “Seminars in cutaneous medicine and surgery” The document explains how to identify different hair problems using a microscope.
June 2001 in “International Journal of Cosmetic Surgery and Aesthetic Dermatology” The Hair Implanter Pen increases speed and is gentle on grafts, with users mastering it after a few tries.
1 citations
,
August 2006 in “International forensic science and investigation series” Hair testing is a reliable method for detecting workplace drug use when done with proper sample preparation and confirmation.
The bar-cartridge type implanter is the best for implanting dermal papilla cells efficiently and at controlled depths.
5 citations
,
January 2015 in “Current problems in dermatology” The document concludes that a thorough history, physical exam, and specific tests are crucial for diagnosing and managing hair loss effectively.
Hair movement can indicate hair quality and health.
September 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” OCT can effectively examine and reveal details about human hair and scalp conditions.
March 1983 in “The Journal of the American Dental Association”
January 2018 in “Journal of The American Academy of Dermatology” A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
2 citations
,
September 2020 in “Hair transplant forum international” A new tool makes hair transplant surgeries faster by creating multiple cuts in one go.
1 citations
,
January 2000
September 2025 in “International Society of Hair Restoration Surgery” Printable templates improve hair transplant accuracy and efficiency.
66 citations
,
November 2011 in “Journal of The American Academy of Dermatology” A handheld dermatoscope helps diagnose different types of hair loss effectively.
13 citations
,
January 2017 in “Cosmetics” Different tests are used to see how hair care products affect hair, and choosing the right test is important for accurate results.
25 citations
,
March 2002 in “Scanning” Confocal microscopy is better than scanning electron microscopy for studying hair in its natural state and understanding hair products' effects.
2 citations
,
January 2017 Hair movement can indicate hair quality and health.
The system can automatically identify different hair and scalp conditions using machine learning.
December 2022 in “Skin Pharmacology and Physiology” Special scalp and hair examination techniques can identify hair problems.
April 2025 in “Dermatology Practical & Conceptual” UV-enhanced trichoscopy helps diagnose hair shaft disorders like pili annulati.
27 citations
,
September 2012 in “Dermatologic Clinics” The document concludes that using specific tools and tests is essential for identifying the cause of hair loss and deciding on the right treatment.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.