Multimodal prediction of persistent pulmonary nodules after COVID-19: radiomics feature integration with clinical and epidemiologic variables
The proposed clinical-imaging model effectively identifies patients at higher risk of persistent pulmonary nodules after COVID-19 and may assist in optimizing individualized follow-up strategies.
Authors
- Hongyuan Xiao
- Yonggang Huang (ORCID: https://orcid.org/0009-0003-1180-5082)
- Yulong Ma
- Lijuan Ma
- Ru Nan
- Xinru Liang
Institutions
- Hebei North University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fmed.2026.1777725
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00