June 2025 in “Journal of Cosmetic Dermatology” AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
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September 2025 in “Journal of Ultrasound in Medicine” AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
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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.
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July 2023 in “Plastic & Reconstructive Surgery Global Open” Women have smaller foreheads and different hairline shapes than men.
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
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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.
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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.
February 2025 in “JAAD International” Five monthly sessions of minoxidil-dutasteride-copper peptide tattooing significantly improve hair regrowth in men with androgenetic alopecia.
February 2025 in “PubMed” AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
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.
April 2021 in “Journal of Investigative Dermatology” An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
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October 2025 Smart hydrogels improve wound healing by adapting to needs and releasing medicine.
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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.