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

Zhang, Qiang; Fotaki, Anastasia; Ghadimi, Sona; Wang, Yu; Doneva, Mariya; Wetzl, Jens; Delfino, Jana G.; O’Regan, Declan P.; Prieto, Claudia; Epstein, Frederick H.

doi:10.1016/j.jocmr.2024.101051

Journal of Cardiovascular Magnetic Resonance

2024

DOI: 10.1016/j.jocmr.2024.101051

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

Qiang Zhang,

Anastasia Fotaki,

Sona Ghadimi

et al.

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

Cited by 1 publication

References 221 publications

Generative AI Virtual Contrast for CMR: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction?

Generative AI Virtual Contrast for CMR: A Pathway to Needle-Free and Fast Imaging of Myocardial Infarction?

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