June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
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,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
12 citations,
July 2011 in “European Journal of Dermatology” The VSCAPSI is a helpful method for evaluating the severity of scalp psoriasis.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
10 citations,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
9 citations,
March 2007 in “Hair transplant forum international” Densitometry and video-microscopy are precise for evaluating hair loss and transplant success but need special equipment and training.
July 2022 in “Journal of Investigative Dermatology” The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
February 2008 in “Basic and clinical dermatology” Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
28 citations,
October 1992 in “JEADV. Journal of the European Academy of Dermatology and Venereology/Journal of the European Academy of Dermatology and Venereology” SIP is a better method for measuring hair growth accurately.
1 citations,
April 2020 in “Magnetic Resonance in Medical Sciences” MRI helps evaluate androgenetic alopecia severity.
4 citations,
January 2021 in “Skin appendage disorders” Washing hair daily is better and preferred, with no negative effects.
11 citations,
November 2015 in “Skin Research and Technology” Women's hair grows faster and thicker than men's, but hair growth slows for both genders with pattern hair loss.
4 citations,
January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
1 citations,
December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
3 citations,
February 2021 in “FEBS open bio” Camellia japonica extract may improve scalp health and promote hair growth.
January 2020 in “Journal of Cosmetics, Dermatological Sciences and Applications” DEEPLY ROOTED® supplement seems to effectively improve hair growth and quality in women with no side effects.
8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
5 citations,
January 2022 in “Journal of Clinical Medicine” Dermoscopy and trichoscopy are useful for diagnosing skin signs in Dermatomyositis.
January 2019 in “International Journal of Case Reports and Images” Combining microneedling with light therapy increased hair density by 26% in men.
7 citations,
September 2014 in “European Journal of Dermatology” Thicker hair grows faster; hair loss patients have slower growth.
29 citations,
March 2008 in “Dermatologic Surgery” The Cross-section Trichometer is a new tool that can measure hair quantity and detect hair loss and growth.
2 citations,
July 2008 in “Dermatologic Surgery” The Cross-section Trichometer is a promising tool for measuring hair characteristics without cutting the hair and may have various clinical uses.
76 citations,
December 2006 in “Journal of Dermatological Science” Japanese women typically start experiencing hair loss after 40, with reduced hair density and thickness being the main factors.
16 citations,
July 2018 in “Dermatologic Surgery” iL-PRF treatment improves hair growth for androgenetic alopecia.