Construction and validation of a multi-function artificial intelligence–assisted system for pressure injury recognition
The YOLOv11-based PI-3DAS system enables automated PI detection, staging, and non-contact wound size quantification with high accuracy and consistency, while substantially improving measurement efficiency. This system provides a portable and practical tool to support clinical nursing assessment, therapeutic follow-up, and remote PI management.
Authors
- Zhenni Wang (ORCID: https://orcid.org/0000-0001-8717-3606)
- Xiaodan Xu
- Yueping Xu
- Kaijian Xia
- Yiqi Dai
- Jian Chen
Institutions
- Soochow University (TW)
- Soochow University (CN)
- Changshu No.1 People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3389/fphys.2026.1773031
- Primary Topic
- Pressure Ulcer Prevention and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00