Investigation of the Effect of Defining Quantitative Acceptance Criteria Using AI-based Retake Decision Support System on the Frequency and Causes of Retakes in Lateral Radiography of the Knee Joint
Our study revealed that positioning errors are the main cause of most of the retakes, and there were many unnecessary retakes. Determining objective retake criteria using RDSS was effective in reducing unnecessary retakes.
Authors
- Shohei Kudomi (ORCID: https://orcid.org/0009-0008-4472-4330)
- Masahiro Koike
- Ayumi Takegami
- Sono Kanoya
- Riho Tsuruoka
- Etsuko Umeda
Institutions
- Yamaguchi University Hospital (JP)
Publication Details
- Journal
- Japanese Journal of Radiological Technology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.6009/jjrt.26-1543
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00