9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
8 citations
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May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
1 citations
,
September 2022 in “JAAD international” Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
AI chatbots can help with scabies education but shouldn't replace doctors.
March 2026 in “Pediatric Dermatology” Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
June 2025 in “British Journal of Dermatology” An AI device for skin cancer was successfully integrated into the NHS, improving diagnosis accuracy and service capacity.
1 citations
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January 2026 in “Frontiers in Cell and Developmental Biology” AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
July 2025 in “Nano Research” Nanotechnology can improve tissue healing by controlling immune responses.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
January 2026 in “Archives of Dermatological Research”
July 2025 in “Clinical Dermatology Review” PRP significantly boosts hair growth in androgenic alopecia patients.
April 2021 in “The journal of investigative dermatology/Journal of investigative dermatology” Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.
1 citations
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July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
92 citations
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February 2023 in “Antibiotics” Nanomaterials in wound dressings help fight infections and improve healing.
69 citations
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November 2023 in “Heliyon” Future wound dressings will be smart, multifunctional, and improve personalized medicine.
4 citations
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August 2023 in “Materials” New synthetic polymers help improve skin wound healing and can be enhanced by adding natural materials and medicines.
January 2025 in “Advances in Clinical Medicine” Fractional CO2 laser therapy effectively improves skin conditions and recovery when combined with other treatments.
9 citations
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February 2025 in “Biomimetics” Robotic surgery in plastic and reconstructive procedures improves precision and outcomes but faces challenges like high costs and long operating times.
1 citations
,
September 2025 in “Clinical Cosmetic and Investigational Dermatology” Adipose-derived stem cell exosomes and AI can improve personalized skincare by offering anti-aging benefits and precise product customization.
1 citations
,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
April 2026 in “Journal of Pharmaceutical and BioTech Industry” AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
March 2026 in “Preprints.org” Robotic systems in cosmetic surgery are promising but need more development and research.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
23 citations
,
May 2024 in “Bioactive Materials” Biomimetic biomaterials can improve skin healing by mimicking natural tissue and reducing immune rejection.
4 citations
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May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” AI can accurately diagnose hair and scalp conditions and suggest treatments.
4 citations
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November 2021 in “Biomedicines” New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
2 citations
,
September 2025 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” AI can accurately diagnose and assess alopecia areata using scalp images.