Validation of artificial intelligence software for automatic calcium scoring in cardiac and chest computed tomography
AI-based CACS shows high detection rate and strong correlation compared to manual CACS, with excellent risk classification agreement. AI may reduce evaluation time and enable opportunistic screening for CAC on low-dose chest CT.
Authors
- Peter M. A. van Ooijen (ORCID: https://orcid.org/0000-0002-8995-1210)
- Zhenhui Nie (ORCID: https://orcid.org/0009-0002-7825-4871)
- Monique D. Dorrius (ORCID: https://orcid.org/0000-0001-9825-6001)
- Thomas C. Kwee (ORCID: https://orcid.org/0000-0001-9005-8529)
- I. Hamelink (ORCID: https://orcid.org/0000-0002-8045-0620)
- R. Vliegenthart
- T E J Thom Severijn
- M Marcel van Tuinen
- P Pim van der Harst
Institutions
- University Medical Center Groningen (NL)
- University Medical Center Utrecht (NL)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112323
- Citations
- 1
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Siemens Healthineers
- Ministerie van Economische Zaken en Klimaat
- Topconsortium voor Kennis en Innovatie