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.
74 citations
,
January 2020 in “IEEE Access” ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
7 citations
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January 2012 Neural networks can effectively predict hair loss.
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.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
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.
February 2012 in “Clinical and Experimental Dermatology” Many adult women experience unexplained excessive hair shedding, often starting before age 40.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
1 citations
,
September 2025 in “Journal of Ultrasound in Medicine” AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
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.
December 2023 in “Modern engineering and innovative technologies”
1 citations
,
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.
8 citations
,
February 2005 in “British Journal of Haematology” Chemotherapy caused the patient's hair to have alternating thick and thin segments.
5 citations
,
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.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
198 citations
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July 2011 in “Cochrane library” Lifestyle changes can improve body composition, excess male hormone levels, and insulin resistance in women with PCOS.
149 citations
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July 2017 in “PLoS Biology” Hair follicle patterns form through a mix of self-organization and signaling interactions.