March 2024 in “Current issues in molecular biology” Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
1 citations
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April 2015 in “Journal of Dermatology and Dermatologic Surgery” People with certain skin diseases have higher levels of the hormone prolactin in their blood.
January 2024 in “Wiadomości Lekarskie” AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
March 2024 in “International journal of molecular sciences” Mitochondrial dysfunction is linked to various skin conditions and could be a target for treatments.
February 2024 in “arXiv (Cornell University)” Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
February 2025 in “Cosmetics” Blue light therapy is promising for skin and hair conditions but needs more research for widespread use.
6 citations
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May 2022 in “Medicina-lithuania” IMA may indicate oxidative stress in skin and hair disorders, but more research is needed.
April 2026 in “Cosmetics” Astragalus plants may improve skin health and have anti-aging benefits.
12 citations
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November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
January 2026 in “Vestnik dermatologii i venerologii” AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
November 2025 in “Indian Journal of Dermatology” Home-based dermatology devices offer convenient and affordable skincare but require careful use due to potential risks.
February 2026 in “Expert Review of Endocrinology & Metabolism” Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
3 citations
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February 2024 in “arXiv (Cornell University)” Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
2 citations
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July 2025 in “Journal of Cosmetic Dermatology” Cosmetic dermatology is improving with new technologies but faces ethical and regulatory challenges.
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.
1 citations
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December 2024 in “Journal of Cutaneous Medicine and Surgery” AI is useful for diagnosing skin diseases but has limitations to consider before widespread use.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
AI can personalize exercise routines to improve skin health.
April 2025 in “Preprints.org” AI can personalize exercise to improve skin health.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
4 citations
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May 2025 in “International Journal of Nanotechnology and Nanomedicine” Nanocarriers show promise for improving skin drug delivery in treating skin conditions.
4 citations
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January 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.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
2 citations
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July 2023 in “Life” COVID-19 can cause temporary hair loss, which is commonly reversible with treatment.
1 citations
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March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.