2 citations
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September 2025 in “Future Journal of Pharmaceutical Sciences” Lupeol shows promise for hair growth but needs better absorption and safety testing.
70 citations
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August 2019 in “European Journal of Medicinal Chemistry”
51 citations
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April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
September 2025 in “International Society of Hair Restoration Surgery” Printable templates improve hair transplant accuracy and efficiency.
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.
June 2025 in “British Journal of Dermatology” Trichoscopy is highly effective for diagnosing scalp disorders and should be used more in dermatology.
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.
November 2025 in “Indian Journal of Dermatology” Home-based dermatology devices offer convenient and affordable skincare but require careful use due to potential risks.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
March 2026 in “Journal of Evidence-Based Medicine” AI chatbots can be reliable learning tools for plastic surgery students.
January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
January 2024 in “Wiadomości Lekarskie” AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
110 citations
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February 2024 in “Journal of Chemical Information and Modeling” PandaOmics uses AI to find new disease treatment targets and biomarkers.
AI can personalize exercise routines to improve skin health.
April 2025 in “Preprints.org” AI can personalize exercise to improve skin health.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
11 citations
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September 2012 in “Journal of Nanjing Medical University” Cyclosporine A was found to increase hair growth in mouse whisker follicles.
September 2024 in “Journal of the American Academy of Dermatology” ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
15 citations
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January 2023 in “Antioxidants” Oxidative stress plays a significant role in alopecia areata, and new treatments may include JAK inhibitors and antioxidants.
9 citations
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April 2016 in “Clinical Endocrinology” Scalp hair 17-OHP and androstenedione levels can help monitor treatment in CAH patients.
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
Advancements in diagnostics, treatments, and technology have improved hair loss detection and restoration, with some types being reversible.
41 citations
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May 2024 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” The guideline recommends using specific drugs and surgery together for treating hidradenitis suppurativa effectively.
2 citations
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March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.