Diagnostic predictive evaluation of pneumocystis jirovecii pneumonia using digital chest CT analysis combined with clinical features
The model provides a valuable tool for differentiating PJP from BP, demonstrating that AI-assisted recognition of chest CT images can effectively support pathogen identification. Its application has the potential to improve early diagnosis of PJP and enhance patient outcomes.
Authors
- Xiaodie Xu
- Yiming Zeng (ORCID: https://orcid.org/0000-0001-6429-0682)
- Chuzhao Li
- Zhigui Huang
- Kavimbi Chipusu
- Jingyi Chen (ORCID: https://orcid.org/0000-0001-7830-5291)
- Yi Chen (ORCID: https://orcid.org/0000-0002-4141-0554)
- Xiaoping Lai (ORCID: https://orcid.org/0000-0002-9063-3498)
- Weijing Wu
Institutions
- Fujian Medical University (CN)
- University of Saskatchewan (CA)
- Second Affiliated Hospital of Fujian Medical University (CN)
- Union Hospital (CN)
- Putian University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3389/fphys.2025.1616791
- Primary Topic
- Pneumocystis jirovecii pneumonia detection and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00