Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT

In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and prognostic probability of a disease or clinical outcome for their patients. For patients with suspected or known cardiovascular disease, several anatomical and functional imaging techniques are commonly p...

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Detalles Bibliográficos
Autores principales: Slart, Riemer H. J. A., Williams, Michelle C., Juarez-Orozco, Luis Eduardo, Rischpler, Christoph, Dweck, Marc R., Glaudemans, Andor W. J. M., Gimelli, Alessia, Georgoulias, Panagiotis, Gheysens, Olivier, Gaemperli, Oliver, Habib, Gilbert, Hustinx, Roland, Cosyns, Bernard, Verberne, Hein J., Hyafil, Fabien, Erba, Paola A., Lubberink, Mark, Slomka, Piotr, Išgum, Ivana, Visvikis, Dimitris, Kolossváry, Márton, Saraste, Antti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Guidelines
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113178/
https://www.ncbi.nlm.nih.gov/pubmed/33864509
http://dx.doi.org/10.1007/s00259-021-05341-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113178/
https://www.ncbi.nlm.nih.gov/pubmed/33864509
http://dx.doi.org/10.1007/s00259-021-05341-z

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