94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
MINI REVIEW article
Front. Med.
Sec. Dermatology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1476685
Mini review on skin biopsy: traditional and modern techniques
Provisionally accepted
Nasar Alwahaibi 1,2*
Maryam Alwahaibi 2- 1 Biomedical Science, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
- 2 Biomedical Science, Sultan Qaboos University, Muscat, Oman
The incidence of skin cancer continues to rise due to increased sun exposure and tanning habits, requiring early detection and treatment for favorable outcomes. Skin biopsy is an important diagnostic tool in dermatology and pathology, it provides valuable understandings into various skin diseases. Proper handling of skin biopsy specimens is vital to ensure accurate histopathological assessment. Still the use of light microscopy and immunofluorescence, provides a comprehensive approach to evaluate skin biopsy specimens, each contributes a unique information that aids in accurate diagnosis and management. This review highlights the evolution of skin biopsy practices, from traditional techniques to advanced methods incorporating artificial intelligence (AI) and convolutional neural networks. AI technologies enhance diagnostic accuracy and efficiency, aiding in the rapid analysis of skin lesions and biopsies. Despite challenges such as the need for extensive annotated datasets and ethical considerations, AI shows promise in dermatological diagnostics. The future of skin biopsy lies in minimally invasive techniques, liquid biopsies, and integrating pharmacogenomics for personalized medicine.
Keywords: Skin biopsy, light microscopy, immunofluorescence, artificial intelligence, Convolutional Neural Networks
Received: 06 Aug 2024; Accepted: 18 Feb 2025.
Copyright: © 2025 Alwahaibi and Alwahaibi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Nasar Alwahaibi, Biomedical Science, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.