When artificial intelligence meets photon-counting coronary CT angiography to reduce the need for invasive coronary angiography in TAVR candidates.
Autor: | Cadour F; Department of Radiology, Cardiac Imaging Unit, University Hospital of Rouen, 76000 Rouen, France; UNIROUEN, Inserm U1096, UFR médecine pharmacie, 76183 Rouen Cedex, France., Dacher JN; Department of Radiology, Cardiac Imaging Unit, University Hospital of Rouen, 76000 Rouen, France; UNIROUEN, Inserm U1096, UFR médecine pharmacie, 76183 Rouen Cedex, France. Electronic address: jean-nicolas.dacher@chu-rouen.fr. |
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Jazyk: | angličtina |
Zdroj: | Diagnostic and interventional imaging [Diagn Interv Imaging] 2024 Jul-Aug; Vol. 105 (7-8), pp. 243-244. Date of Electronic Publication: 2024 Feb 26. |
DOI: | 10.1016/j.diii.2024.02.007 |
Abstrakt: | Competing Interests: Declaration of competing interest The authors declare that they have no competing interest. |
Databáze: | MEDLINE |
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