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 114
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- skin cancer detection
- AI-augmented tools
- chatbots
- AI-powered follow-up
- patient’s attitude to AI use
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
