Clinical, Cosmetic and Investigational Dermatology

Artificial Intelligence and Digital Innovation in Inflammatory Skin Diseases

Artificial intelligence (AI) is rapidly transforming dermatology by enabling the analysis of complex clinical, imaging, molecular, and patient-generated data. In inflammatory skin diseases, including psoriasis, atopic dermatitis, hidradenitis suppurativa, acne, rosacea, and other immune-mediated or inflammatory disorders, AI-based approaches have the potential to support diagnosis, disease classification, severity assessment, monitoring, and therapeutic decision-making. Machine learning, deep learning, computer vision, natural language processing, and emerging generative AI models are increasingly being investigated across multiple areas of dermatological care. At the same time, the growing availability of digital photography, dermoscopy, non-invasive imaging, electronic health records, wearable devices, and real-world datasets is creating new opportunities to develop data-driven tools capable of complementing clinical expertise and improving the characterization of complex and heterogeneous inflammatory skin conditions.

The relevance of AI in inflammatory dermatology extends beyond automated image recognition. These diseases are frequently chronic, relapsing, heterogeneous in presentation, and associated with variable treatment responses and substantial effects on quality of life. Their management often requires repeated assessment, long-term monitoring, and increasingly personalized therapeutic strategies. AI may help integrate multiple sources of information to identify disease phenotypes, predict clinical trajectories, estimate treatment response, detect early signs of relapse, and support more individualized management. Digital tools may also improve remote monitoring and facilitate patient engagement. However, important challenges remain, including dataset quality and representativeness, external validation, algorithmic bias, interpretability, privacy, ethical considerations, and integration into real-world clinical workflows. Addressing these issues is essential to move from promising experimental models toward clinically meaningful, safe, equitable, and generalizable applications.

This Article Collection aims to provide a comprehensive overview of current advances and future directions in the application of AI to inflammatory skin diseases. Topics of interest include, but are not limited to:

• AI-assisted diagnosis and differential diagnosis
• automated lesion detection, segmentation, and severity scoring
• analysis of clinical, dermoscopic, and other non-invasive imaging data
• prediction of disease progression, flares, comorbidities, and treatment response
• precision medicine and therapeutic decision support
• digital biomarkers and remote disease monitoring
• multimodal data integration
• large language models and generative AI in inflammatory dermatology
• patient-facing digital tools
• the ethical, methodological, regulatory, and implementation challenges associated with clinical translation

Original Research, Reviews, Systematic Reviews, and Perspectives addressing clinically relevant and methodologically robust applications are particularly welcome.

Keywords: Artificial intelligence; Inflammatory skin diseases; Machine learning; Precision dermatology; Digital health

­­All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).

Please review the journal scope and author submission instructions prior to submitting a manuscript.

The deadline for submitting manuscripts is 16 July 2027.

Please contact Thalia Geiger at thalia.geiger@taylorandfrancis.com with any questions or requests for discount codes relating to this Article Collection.

Meet the Guest Advisors

Dr. Federica Trovato

Dr. Federica Trovato is a board-certified dermatologist at Sapienza University of Rome. Her main clinical and research interests include inflammatory skin diseases, non-invasive skin imaging, dermoscopy, trichology, skin cancer, and laser dermatology. She is actively involved in clinical research and is the author and co-author of numerous peer-reviewed scientific publications. She also serves as a reviewer for international dermatology journals.

Dr. Antonio Di Guardo

Dr. Antonio Di Guardo is a board-certified dermatologist with expertise in cutaneous oncology, including melanoma, non-melanoma skin cancers, and cutaneous lymphomas, as well as in non-invasive skin imaging, particularly reflectance confocal microscopy. His clinical interests also include inflammatory and immune-mediated skin diseases. He works at IDI-IRCCS in Rome, where he is involved in the management of complex dermatological conditions and clinical research. He is the author and co-author of several peer-reviewed scientific publications and a speaker at national and international conferences.