Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to clinical translation

Autor: Zhang, Qiang, Fotaki, Anastasia, Ghadimi, Sona, Wang, Yu, Doneva, Mariya, Wetzl, Jens, Delfino, Jana G., O’Regan, Declan P., Prieto, Claudia, Epstein, Frederick H.
Zdroj: In Journal of Cardiovascular Magnetic Resonance Winter 2024 26(2)
Databáze: ScienceDirect