Development and validation of a pneumonia severity prediction model using AI analysis of abdominal and paravertebral intramuscular fat on chest CT in COVID-19 patients
These findings support the use of AI-based CT analysis in clinical settings to enhance early risk stratification and guide targeted interventions for COVID-19 patients.
Authors
- Peiyu Huang (ORCID: https://orcid.org/0000-0003-4226-9369)
- Liangji Lu
- Bin Lin (ORCID: https://orcid.org/0000-0002-3647-2144)
- Minming Zhang (ORCID: https://orcid.org/0000-0003-0145-7558)
- Xiao Luo (ORCID: https://orcid.org/0000-0002-7987-3714)
- Baoxin Qian (ORCID: https://orcid.org/0009-0007-6608-0073)
- Shuyue Wang (ORCID: https://orcid.org/0000-0002-5861-5986)
- Zhiyuan Gao (ORCID: https://orcid.org/0000-0002-0915-8918)
- Kaipeng Jin (ORCID: https://orcid.org/0000-0001-5072-4283)
Institutions
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-353
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00