Development of a machine learning-based predictive model for maxillary sinus cysts and exploration of clustering patterns
These findings provide valuable insights into the etiology and risk stratification of maxillary sinus cysts, offering a theoretical basis for their prevention and clinical management. The integration of CBCT imaging and ML techniques holds the potential for prevention and personalized treatment strategies of maxillary sinus cysts.
Authors
- Haoran Yang (ORCID: https://orcid.org/0000-0002-1183-767X)
- Ziliang Li
- Lin Li (ORCID: https://orcid.org/0000-0002-8014-8296)
- Yuxiang Chen (ORCID: https://orcid.org/0000-0002-0855-3019)
- Anna Zhao
- Xianqi Rao
Institutions
- Kunming Medical University (CN)
- Stomatology Hospital (CN)
Publication Details
- Journal
- Head & Face Medicine
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1186/s13005-025-00492-y
- Citations
- 1
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 1.85
Funders
- National Natural Science Foundation of China