Congress:
ECR25
Poster Number:
C-10229
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
G. Tremamunno1, A. Varga-Szemes2, D. Kravchenko2, M. T. Hagar2, U. J. Schoepf2, A. Laghi1, M. Vecsey-Nagy2, T. S. Emrich2; 1Rome/IT, 2Charleston, SC/US
Disclosures:
Giuseppe Tremamunno:
Nothing to disclose
Akos Varga-Szemes:
Research/Grant Support: Siemens Healtineers
Dmitrij Kravchenko:
Nothing to disclose
Muhammad Taha Hagar:
Nothing to disclose
Uwe Joseph Schoepf:
Research/Grant Support: Siemens Healthineers
Andrea Laghi:
Nothing to disclose
Milán Vecsey-Nagy:
Nothing to disclose
Tilman Stephan Emrich:
Research/Grant Support: Siemens Healthineers
Keywords:
Artificial Intelligence, CAD, CT-Angiography, CAD, Arteriosclerosis
In conclusion, DL based ACA demonstrated robust performance with substantial agreement with experts and better agreement with the ICA reference standard on UHR PCD-CT imaging compared to EID-CT. DL assisted coronary assessments are a promising supportive tool for radiologists and may act as a valuable pre-reading resource, helping clinicians improve efficiency and manage heavier workloads in daily practice.