January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
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.
January 2024 in “Wiadomości Lekarskie” AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
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.
January 2024 in “Wiadomości Lekarskie” AI in medicine raises many questions and concerns.
4 citations
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November 2023 in “ArXiv.org” A new method improves the accuracy and reliability of language models by up to 42%.
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 “Aesthetic Plastic Surgery” AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
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.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
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.
January 2024 in “Wiadomości Lekarskie” AI can improve early diagnosis and treatment of diabetic foot complications but requires addressing training and ethical challenges.
March 2026 in “Journal of Evidence-Based Medicine” AI chatbots can be reliable learning tools for plastic surgery students.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
January 2024 in “Wiadomości Lekarskie” AI and advanced technologies are improving medical diagnostics and treatments.
1 citations
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October 2023 Syntax-based neural networks can match Transformers in handling unseen sentences.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
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.
1 citations
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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.
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” pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
3 citations
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
December 2025 in “Skin Appendage Disorders” Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
1 citations
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July 2025 in “Science & Education” The framework helps people evaluate scientific information for specific needs.
AI can improve alopecia areata diagnosis with high accuracy.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.