1 citations
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December 2022 in “Zenodo (CERN European Organization for Nuclear Research)” Emotional intelligence needs different measurement tools than IQ.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
January 2026 in “Vestnik dermatologii i venerologii” AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
December 2025 in “Skin Appendage Disorders” Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
September 2025 in “PubMed” AI can greatly improve skin cancer diagnosis and treatment.
August 2025 in “Journal of IMAB - Annual Proceeding (Scientific Papers)” The A-T advancement flap is a safe and effective method for scalp reconstruction after basal cell carcinoma removal.
July 2025 in “E-methodology” AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
AI can predict hair loss patterns to improve care and treatment.
AI-assisted surgical robots improve surgery precision and safety.
1 citations
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October 2025 Smart hydrogels improve wound healing by adapting to needs and releasing medicine.
1 citations
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January 2014 in “Journal of Cosmetics, Dermatological Sciences and Applications” The document's conclusion cannot be provided because the content is not available to parse.
October 2025 in “Journal of Bahria University Medical and Dental College” Many dental professionals are aware of AI but need more education and support to use it effectively.
8 citations
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May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
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.
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.
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.
1 citations
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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
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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.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.