Quantitative evaluation of an artificial intelligence-assisted platform in CT acquisition workflow
A reduction in time and interactions required to perform CT image acquisition may have real-world pragmatic implications in reducing radiographer workload and improving departmental throughput.
Authors
- Marco Caballo (ORCID: https://orcid.org/0000-0002-3700-2785)
- Alexander Foden (ORCID: https://orcid.org/0000-0002-7007-3956)
- Russell Bull (ORCID: https://orcid.org/0000-0001-5173-327X)
- Matthew Benbow
- Sue A. Thomas (ORCID: https://orcid.org/0000-0001-7910-2939)
- Laura McLennan
- Mark Condron
Institutions
- Canon (Japan) (JP)
- Royal Bournemouth Hospital (GB)
- Stryker (Netherlands) (NL)
- Novo Nordisk (United Kingdom) (GB)
Publication Details
- Journal
- Journal of medical imaging and radiation sciences
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1016/j.jmir.2025.102133
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00