Correlation between oxygenation function and laboratory indicators in COVID-19 patients based on non-enhanced chest CT images and construction of an artificial intelligence prediction model
This study found that the early chest CT radiomic features of COVID-19 patients are strongly associated not only with early laboratory indicators but also with the lowest PaO<sub>2</sub>/FiO<sub>2</sub>. Consequently, we developed an AI model based on CT radiomic features to predict deterioration in oxygenation function, which can provide a reliable basis for further clinical management and treatment.
Authors
- Weiheng Kong (ORCID: https://orcid.org/0000-0003-0090-909X)
- Keyi Yang (ORCID: https://orcid.org/0000-0002-7910-2899)
- Li Wang (ORCID: https://orcid.org/0000-0002-2929-4255)
- Yujia Liu (ORCID: https://orcid.org/0000-0002-6436-6998)
- Lixin Yu
- Guangyu Jiao
Institutions
- Liaoning University of Traditional Chinese Medicine (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2024-11-06
- DOI
- https://doi.org/10.3389/fmicb.2024.1495432
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Liaoning University
- Liaoning University of Traditional Chinese Medicine