Segmental airway volume as a predictive indicator of postoperative extubation timing in patients with oral and maxillofacial space infections: a retrospective analysis
Segmental airway volume shows promise as an indicator for predicting extubation time. Predictive models constructed using machine learning algorithms yield good predictive performance and may facilitate clinical decision-making.
Authors
- Boyuan Zhu (ORCID: https://orcid.org/0000-0002-0792-8640)
- Xianjun Zhang (ORCID: https://orcid.org/0000-0003-3554-780X)
- Xiaoge Zhang (ORCID: https://orcid.org/0000-0001-6831-3175)
- Shiyuan Liu (ORCID: https://orcid.org/0000-0002-0266-4666)
- Wei Li (ORCID: https://orcid.org/0000-0002-4641-620X)
- Heli Shen
Institutions
- Xuzhou Central Hospital (CN)
- Xuchang University (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12903-025-06768-8
- Citations
- 1
- Primary Topic
- Otolaryngology and Infectious Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.40