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.
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.
106 citations
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August 2024 in “Annals of Medicine and Surgery” AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
September 2025 in “PubMed” AI can greatly improve skin cancer diagnosis and treatment.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
8 citations
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May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
AI can improve alopecia areata diagnosis with high accuracy.
July 2025 in “E-methodology” AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
March 2026 in “Pediatric Dermatology” Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
2 citations
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March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
January 2026 in “Vestnik dermatologii i venerologii” AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
January 2024 in “Wiadomości Lekarskie” AI and advanced technologies are improving medical diagnostics and treatments.
2 citations
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January 2024 in “Wiadomości Lekarskie” AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
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.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
AI chatbots can help with scabies education but shouldn't replace doctors.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
January 2024 in “Wiadomości Lekarskie” AI in medicine raises many questions and concerns.
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.
December 2025 in “Skin Appendage Disorders” Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
March 2026 in “Journal of Evidence-Based Medicine” AI chatbots can be reliable learning tools for plastic surgery students.