Dermato-Engineering and AI Assessment in Dermatology Practice
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Dermatology".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 107
Special Issue Editors
Interests: artificial intelligence; skin cancer; psoriasis; oxidative stress; dermoscopy; skin of colour
Special Issues, Collections and Topics in MDPI journals
Interests: skin cancer; melanoma; inflammoscopy; autoimmunity; artificial intelligence; total body photography and ultraviolet reflectance dermatoscopy; polarization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is no longer a futuristic concept but a present reality that has rapidly changed all aspects of life; dermatology is no exception. AI offers tools that have the potential to outperform traditional methods of clinical assessment. Dermatology, a medical specialty that relies almost exclusively on visual recognition and clinical pattern analysis, provides fertile ground for AI to transform skin health clinical practice.
AI is revolutionizing dermatology by improving the diagnosis and management of various skin diseases, such as psoriasis, eczema and acne, while also advancing aesthetic applications and hair health improvement methods and solutions. Advanced AI tools can identify skin cancer with accuracy comparable to that of dermatologists, while machine learning models assist in predicting treatment responses, enabling more personalized and effective care. However, these advances raise important questions about how smoothly these technologies can be incorporated into everyday dermatological practice and how they might influence the relationship between doctors and patients. Additionally, patient perception plays a crucial role as their trust in and acceptance of AI-driven assessments could impact their overall experience and treatment adherence.
We invite authors to explore how AI-driven tools are changing dermatology practice, particularly in diagnosing and managing skin diseases Contributions should address the integration of AI into daily clinical practice, its impact on the dermatologist–patient relationship, and the ethical and practical challenges derived from its use.
Dr. Emmanouil Karampinis
Dr. Paweł Pietkiewicz
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- skin cancer detection
- AI-augmented tools
- chatbots
- AI-powered follow-up
- patient’s attitude to AI use
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