Jieying Zhou

Back to Journals » International Journal of Nanomedicine » Volume 21 Authors Zhou J , Luo W, Zeng L , Xu S, Wu R, Lu J, Li Y, Xiong W Received 30 October 2025 Accepted for publication 23 January 2026 Published 3 February 2026 Volume 2026:21 574265 DOI https://doi.org/10.2147/IJN.S574265 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Prof.

Objective: Accurate assessment of pressure injuries (PIs) is necessary for a good outcome. Junior and non-specialist nurses have less experience with PIs and lack clinical practice, and so have difficulty staging them accurately. In this work, a deep learning-based system for PI staging and tissue classification is proposed to help improve its accuracy and efficiency in clinical practice, and save healthcare costs.

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Chenxuan Lu , Yongcheng Ji *,†, Yunfei Zou †, Jieying Zhou , Yuqian Tian and Zhiqiang Xing * College of Civil Engineering, Northeast Forestry University, Harbin 150040, China * Authors to whom correspondence should be addressed. † These authors contributed equally to this work.