Machine Learning-based Radiomic Model for Early Diagnosis of Male Urethral Injury in Pelvic Fracture Patients
This study developed a machine learning model using pelvic computed tomography images to diagnose urethral injury in men with pelvic fractures early. The model is noninvasive and accurate, which may help doctors make faster and better treatment decisions.
Authors
- Lujie Song
- Yubo Gu
- Tianzheng Hao (ORCID: https://orcid.org/0009-0000-0479-5435)
- Jianwen Huang
- Guoping Song
- Yongdong Pan
- Weidong Zhu
- Ruihang Zhang
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- European Urology Open Science
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1016/j.euros.2025.12.015
- Primary Topic
- Urological Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00