Analysis of the use of digital technologies in the preliminary diagnosis of dermatological diseases: a systematic review

Angie Fiorella Sapaico-Alberto, Sandro Olaya-Cotera*, Rosalynn Ornella Flores-Castañeda*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Dermatological diseases are a significant global health concern, and advanced technologies have demonstrated considerable potential to improve the diagnosis and treatment of these conditions. The overall objective of this systematic review is to analyze and evaluate the use of preliminary digital diagnostic technologies in the field of dermatological diseases. The PRISMA methodology was used to collect approximately 50 products to support the article. The results obtained reveal several key findings. First, we investigate for which dermatological diseases these specialized technologies are used, finding that conditions such as skin cancer, rosacea and acne are the most diagnosed using advanced tools. Second, the technologies used to improve preliminary diagnosis are explored, with neural networks standing out, contributing to more accurate and efficient diagnosis. Third, the benefits of these technologies are evaluated, highlighting diagnostic accuracy, early detection and improved quality of patient care. In conclusion, this review highlights the crucial role of technologies in dermatology, not only improving diagnostic accuracy and treatment efficiency, but also optimizing resources and improving the patient experience.

Original languageEnglish
Article number146
JournalArchives of Dermatological Research
Volume317
Issue number1
DOIs
StatePublished - Dec 2025

Keywords

  • Artificial intelligence
  • Convolutional neural networks
  • Dermatology
  • Diagnostic accuracy
  • Early detection
  • Image processing

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