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.
January 2024 in “Lecture notes in networks and systems” "TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
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.
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.
12 citations,
July 2011 in “European Journal of Dermatology” The VSCAPSI is a helpful method for evaluating the severity of scalp psoriasis.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
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.
1 citations,
May 2021 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.
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.
4 citations,
February 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.
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.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
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.
76 citations,
February 2007 in “Journal of Dermatological Science” Japanese women typically start experiencing hair loss after 40, with reduced hair density and thickness being the main factors.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
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.
23 citations,
April 2006 in “Skin Research and Technology” The study concluded that a special imaging technique showed women with hair loss have slower hair growth and a faulty hair replacement cycle.
58 citations,
January 2013 in “Dermatologic Clinics” Male pattern hair loss caused by follicular miniaturization; early diagnosis and treatment can reduce psychological burden.
1 citations,
February 2023 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
10 citations,
July 2013 in “International Journal of Trichology” Trichoscopy effectively diagnoses early female hair loss, but may need scalp biopsy for confirmation.
3 citations,
February 2021 in “FEBS open bio” Camellia japonica extract may improve scalp health and promote hair growth.
5 citations,
January 2022 in “Journal of Clinical Medicine” Dermoscopy and trichoscopy are useful for diagnosing skin signs in Dermatomyositis.
7 citations,
December 2014 in “European Journal of Dermatology” Thicker hair grows faster; hair loss patients have slower growth.
29 citations,
July 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.
11 citations,
August 2021 in “Stem Cell Research & Therapy” The document concludes that using a person's own fat cells (SVF) can significantly increase hair thickness and density, suggesting it could be a promising treatment for hair loss.
67 citations,
February 2009 in “Journal of Dermatology” 3 citations,
September 2021 in “EClinicalMedicine”