Deep learning based CT images for lung function prediction in patients with chronic obstructive pulmonary disease
The preliminary research results indicate that the MLP-based multimodal feature fusion model has the potential to predict PFT parameters in COPD patients in real time. However, it is worth noting that the study used indicators before the use of bronchodilators, which may affect the interpretation of the results. Future studies should use measurements taken after bronchodilator administration to better align with clinical standards.
Authors
- Ruihan Li (ORCID: https://orcid.org/0000-0002-0607-0945)
- Junjie Han (ORCID: https://orcid.org/0000-0002-5789-3052)
- Shuqin Kang
- Qian Wu (ORCID: https://orcid.org/0000-0002-0223-1385)
- Hui Guo (ORCID: https://orcid.org/0000-0003-0293-6534)
Institutions
- Xinjiang Medical University (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12890-025-03957-7
- Citations
- 1
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 1.52