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Cine-cardiac magnetic resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach.

Riccardo CauFrancesco PisuAlessandra PintusVitanio PalmisanoRoberta MontisciJasjit S SuriRodrigo SalgadoLuca Saba
Published in: European radiology (2024)
• The exponential growth in cardiovascular magnetic resonance examinations may require faster and more cost-effective protocols. • Artificial intelligence models can be utilized to distinguish between ischemic and non-ischemic etiologies. • Machine learning using non-contrast CMR parameters can effectively distinguish between ischemic and non-ischemic cardiomyopathies.
Keyphrases
  • machine learning
  • magnetic resonance
  • artificial intelligence
  • ischemia reperfusion injury
  • cerebral ischemia
  • big data
  • deep learning
  • contrast enhanced
  • left ventricular
  • subarachnoid hemorrhage