Skin Technology and Artificial Intelligence in Dermatology
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 145
Special Issue Editors
Interests: dermatology; skin technology; artificial intelligence; machine learning
Interests: photodynamic therapy; skin cancer and field therapies; high risk skin cancer patients (transplant recipients); skin care of the oncology patients; transplant and immunosuppression; cutaneous oncology; procedural dermatology including latest advances in skin; laser surgery and aesthetic dermatology; skin rejuvenation including injectable botox and fillers photobiology/photodymanic therapy; laser tissue interactions & drug delivery; field cancerization therapies; tissue repair
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the impact of skin technology and artificial intelligence (AI) in dermatology. It explores the latest advancements and their implications for clinical practice. AI-driven diagnostic tools, such as machine learning algorithms and computer vision, have significantly improved the accuracy and efficiency of skin disease detection and classification. These innovations have the potential to revolutionize patient care by enabling early and precise diagnoses, consequently improving treatment outcomes.
This Special Issue explores the integration of AI into various dermatological applications, including teledermatology, personalized skincare, and predictive analytics for skin cancer. It also addresses the ethical considerations and potential biases in AI models, emphasizing the importance of diverse and inclusive datasets to ensure fair healthcare solutions. Additionally, the articles focus on the role of skin technology in continuously monitoring and managing chronic skin conditions, offering insights into future trends and potential challenges.
This Special Issue aims to provide a comprehensive overview of the current state and future directions of AI and skin technology in dermatology by bringing together leading experts and researchers. It serves as a valuable resource for dermatologists, researchers, and healthcare professionals dedicated to leveraging technology to improve skin health and patient outcomes.
Dr. Mohamad Goldust
Prof. Dr. Maria M. Tsoukas
Guest Editors
Manuscript Submission Information
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Keywords
- skin technology
- artificial intelligence
- machine learning
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