1 citations
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August 2025 in “Medicina” Non-invasive imaging techniques improve scalp condition diagnosis and patient quality of life.
October 2022 in “Hair Transplantation” Digital imaging tools help accurately assess hair transplant candidates.
1 citations
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October 2024 in “Dermatology Practical & Conceptual” Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
Integrating ABI screening in clinics can improve patient care for those at risk of peripheral artery disease.
9 citations
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February 2024 in “Indian Dermatology Online Journal”
1 citations
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April 2017 in “Journal of Investigative Dermatology” A new one-step test can quickly identify skin cancer during surgery.
1 citations
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December 2024 in “Dermatology and Therapy” The STRIAA tool helps doctors quickly and effectively assess the severity of Alopecia Areata.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
26 citations
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February 2016 in “Respiratory Medicine” Auto-antibody testing is a useful but not definitive tool in diagnosing interstitial lung diseases, and using a specific algorithm could make testing more cost-effective.
September 2024 in “Journal of the American Academy of Dermatology”
January 2024 in “Wiadomości Lekarskie” AI and advanced technologies are improving medical diagnostics and treatments.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
5 citations
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February 2025 in “Journal of Clinical Medicine” A new method improves alopecia diagnosis using non-invasive steps.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
August 2024 in “Skin Research and Technology” TAF can be identified by excessive skin thickening and clogged hair follicles, helping distinguish it from similar skin conditions.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
1 citations
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May 2025 in “International Journal of Dermatology” September 2023 in “Journal of the American Academy of Dermatology” The model can effectively identify good quality skin images but needs more testing for real-world use.
June 2015 in “The American journal of dermatopathology/American journal of dermatopathology” The study found that a one-step antibody method is better than the LSAB method for accurately studying hair follicle structures without false positives.
147 citations
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September 2001 in “Computer graphics forum” The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
23 citations
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January 1997 in “Computers and Composition” To stop online sexism, both men and women need to change how they act.
15 citations
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June 2016 in “Computers in Biology and Medicine” Ascorbyl Tetraisopalmitate penetrates skin better in the stratum corneum than in the infundibulum.
12 citations
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September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
1 citations
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June 2021 in “Computer methods and programs in biomedicine” Children with cancer had slightly more unusual facial shapes than healthy kids, but not enough to easily tell them apart.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
May 2023 in “Experimental Dermatology” RCM and OCT are effective for diagnosing and monitoring hair-related skin diseases but lack standardized protocols and need more research.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
AI can improve alopecia areata diagnosis with high accuracy.
14 citations
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January 2020 in “International Journal of Biological Sciences” Multiphoton microscopy can effectively assess breast cancer treatment responses without labels.