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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
References

  1. van Assen M, Razavi AC, Whelton SP, De Cecco CN. Artificial intelligence in cardiac imaging: where we are and what we want. Eur Heart J. 2023 Feb 14;44(7):541–3.

  2. Willemink MJ, Persson M, Pourmorteza A, Pelc NJ, Fleischmann D. Photon-counting CT: Technical Principles and Clinical Prospects. Radiology. 2018 Nov;289(2):293–312.

  3. Vecsey-Nagy M, Tremamunno G, Schoepf UJ, Gnasso C, Zsarnóczay E, Fink N, et al. Intraindividual Comparison of Ultrahigh-Spatial-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Stenosis Measurement. Circ Cardiovasc Imaging. 2024 Oct;17(10):e017112.
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