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.
8 citations
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May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
9 citations
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February 2024 in “Indian Dermatology Online Journal” New imaging technologies improve skin diagnosis but face cost and training challenges.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
August 2024 in “Dermatological Reviews” New technologies are improving the diagnosis and treatment of hair and nail disorders.
July 2026 in “Diagnostics” Integrating various skin imaging technologies improves diagnosis and treatment in dermatology.
4 citations
,
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.
1 citations
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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.
October 2025 in “Dermatology Practical & Conceptual” ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
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.
12 citations
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November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
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.
23 citations
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April 2025 in “Journal of Clinical Medicine” AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
January 2026 in “Archives of Dermatological Research”
July 2025 in “Clinical Dermatology Review” PRP significantly boosts hair growth in androgenic alopecia patients.
1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
4 citations
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November 2021 in “Biomedicines” New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
April 2026 in “Journal of Pharmaceutical and BioTech Industry” AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
4 citations
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January 2025 in “Diagnostics” High-frequency ultrasonography helps diagnose and manage hair and nail disorders safely and effectively.
June 2026 in “IP Indian Journal of Clinical and Experimental Dermatology” The journal's publications grew steadily, but international collaboration was limited.
1 citations
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March 2025 in “JAAD reviews.” Significant progress has been made in treating skin, hair, and nail disorders in people with skin of color, but disparities still exist.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
January 2026 in “Forum Dermatologicum” Hair loss can be caused by cancer, treatments, or skin conditions, and trichoscopy helps diagnose it.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.