The december issue of the JEADV comprises over 20 scientific contributions, including systematic reviews, original research articles, and commentaries examining AI-supported melanoma screening, virtual reality applications in medical education, and natural language processing in clinical practice. Research findings indicate progress in integrating computational methods into clinical workflows, with quantitative evaluations of automated diagnosis systems, educational tools, and clinical decision support.
Notable research includes methodological advances in weakly supervised deep learning for histopathological melanoma classification and controlled studies on virtual reality-based training in dermatological education. Several investigations analyze the implementation of digital tools from both technical and clinical perspectives, including structured evaluations of patient and physician experiences. The published work provides evidence for the clinical utility of digital technologies in areas such as disease classification, treatment monitoring, and medical education.
This collection of peer-reviewed research represents a broad interdisciplinary examination of digital technologies in dermatological practice. All articles are now available in JEADV Volume 38, Issue 12 (
https://onlinelibrary.wiley.com/doi/10.1111/jdv.19207
Link: https://onlinelibrary.wiley.com/doi/10.1111/jdv.19207 oder https://onlinelibrary.wiley.com/doi/full/10.1111/jdv.20353