2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
7 citations
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January 2012 Neural networks can effectively predict hair loss.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
January 2024 in “Wiadomości Lekarskie” AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
1 citations
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March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
74 citations
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January 2020 in “IEEE Access” ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
1 citations
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January 2022 in “Electronic Imaging” A new method accurately captures and renders hair color for virtual reality and hair dye use.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
11 citations
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February 2019 in “Frontiers in Physiology” Hair properties are interconnected; a comprehensive, cross-disciplinary approach is essential for understanding hair behavior.
September 2025 in “PubMed” AI can greatly improve skin cancer diagnosis and treatment.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
February 2012 in “Clinical and Experimental Dermatology” Many adult women experience unexplained excessive hair shedding, often starting before age 40.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
February 2022 in “arXiv (Cornell University)” A new method accurately captures and renders hair color for real and synthetic images.
5 citations
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April 2020 in “Journal of Mind and Medical Sciences” The new device improves surgical accuracy by using a special dye and camera to see inside tissues.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
2 citations
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July 2005 in “International Joint Conference on Artificial Intelligence” EREG therapy may help treat hair loss by promoting hair growth.
January 2023 in “Austin Journal of Obstetrics and Gynecology” PCOS affects many young women in KSA, with mild cases being most common.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
Researchers developed a new device that improves non-incision hair transplant efficiency.
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
2 citations
,
July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
1 citations
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May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The system helps monitor hair properties using RGB video microscopy.
The model accurately identifies hair diseases using deep learning.