January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
A new CNN model can detect Alopecia Areata with 98% accuracy.
13 citations
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June 2018 in “Dermatopathology” A new classification system for skin cysts was proposed to improve diagnosis.
4 citations
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January 2014 in “Indian Journal of Endocrinology and Metabolism” Indian women with PCOS may need different ultrasound criteria for diagnosis than current standards.
2 citations
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November 2025 in “Cancer Imaging” Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
June 2025 in “British Journal of Dermatology” Standardized forms and digital tools can improve alopecia biopsy diagnosis.
May 2025 in “Clinical Medicine Insights Case Reports” Kindler Syndrome shows diverse symptoms and needs better diagnostic tools and care in resource-limited areas.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
1 citations
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October 2010 in “Cambridge University Press eBooks” The document suggests new ways to assess and diagnose hyperandrogenism to improve accuracy.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
12 citations
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February 2013 in “Journal of Cutaneous Pathology” The document concludes that choosing the right biopsy site is crucial for accurate alopecia diagnosis, and combining methods can improve results.
4 citations
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April 2024 in “Clinical Cosmetic and Investigational Dermatology” Trichoscopy helps distinguish between scalp Discoid Lupus Erythematosus and Lichen Planopilaris for accurate diagnosis and treatment.
May 2018 in “The Journal of urology/The journal of urology” The document highlights recent findings and treatments in urology, including prostate cancer diagnostics, urinary incontinence, and new therapies.
2 citations
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November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
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.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
3 citations
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July 2015 in “Dermatologica Sinica” About half of Taiwanese dermatologists use dermoscopy, mainly to improve diagnosis and detect cancer early, but cost and lack of training limit its wider use.
1 citations
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January 2022 in “Skin Appendage Disorders” Lupus erythematosus can mimic alopecia areata, and trichoscopy is key for accurate diagnosis and better patient outcomes.
1 citations
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March 2019 in “Lasers in Surgery and Medicine” The conference reported improvements in muscle volume, skin cancer diagnosis, facial and vaginal rejuvenation, and hair growth using various laser treatments.
10 citations
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March 2016 in “The Journal of Obstetrics and Gynecology of India” The article suggests renaming Polycystic Ovarian Syndrome (PCOS) to "Hyperandrogenic Persistent Ovulatory Dysfunction Syndrome" (HA-PODS) for accuracy and consistency, but no final decision was made.
1 citations
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May 2019 in “Journal of The European Academy of Dermatology and Venereology” New method, hair distribution width (HDW), improves accuracy in diagnosing androgenetic alopecia (AGA).
The document concludes that dermatology training and grading scales need to better represent dark-skinned individuals to improve diagnosis and assessment of skin conditions.
27 citations
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April 2017 in “European journal of endocrinology” The research found that MRI and certain hormone levels can help tell apart ovarian tumors from hyperthecosis in postmenopausal women, but tissue analysis is still needed for a definite diagnosis.
2 citations
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March 2023 in “Skin research and technology” Temporal triangular alopecia in infants is mostly seen in males at birth, with unique features that help with diagnosis.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
14 citations
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June 2016 in “Hypertension research” New method uses hair follicle cells to estimate human body clock phase, potentially improving sleep disorder diagnosis.
5 citations
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October 2023 in “International Journal on Recent and Innovation Trends in Computing and Communication” The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
1 citations
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December 2018 in “International Journal of Modern Computation Information and Communication Technology” AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
5 citations
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September 2002 in “Archives of Dermatology” Dermatologists diagnose and manage melanoma more effectively than general practitioners.
4 citations
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January 2025 in “Diagnostics” High-frequency ultrasonography helps diagnose and manage hair and nail disorders safely and effectively.