Machine learning for optimizing mAs in KUB radiography with metal implants
We concluded that the ML approach is suitable for building the model for predicting appropriate mAs and reducing overexposure in patients with metal implants during KUB radiography.
Authors
- Ming-Chung Chou
- Wen-Xuan Chen
- Sin-Rong Huang
- Shih-Hua Huang
- Jen-Pei Su
Institutions
- Kaohsiung Medical University (TW)
- Kaohsiung Medical University Chung-Ho Memorial Hospital (TW)
- E-Da Hospital (TW)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1002/acm2.70493
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Science and Technology, Taiwan