Novel noninvasive assessment of upper urinary tract urine flow dynamics: a deep learning-driven reconstruction model combined with CFD simulation
Deep learning-based upper urinary tract model reconstruction combined with CFD simulation constitutes a novel noninvasive method for measuring upper urinary tract urine flow dynamics parameters. Among the three robot-assisted pyeloplasty techniques, the middle anastomosis approach yields the optimal postoperative recovery.
Authors
- Yufeng He
- J Lu
- Xing Shi and Guang Lin
- Wangbin Ding (ORCID: https://orcid.org/0000-0001-6494-5554)
- Jing Chen (ORCID: https://orcid.org/0000-0002-9035-9126)
- Zhanpeng Zhu
- Guangxu You
- Huaping Sun
- Di Xu (ORCID: https://orcid.org/0000-0001-5587-5275)
- Shan Lin
- YuRu Zhang
Institutions
- Fujian Medical University (CN)
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Fuzhou Second Hospital (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1186/s40001-025-03730-w
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00