Artificial Intelligence in Cardiac Imaging


Machine learning (ML), a subset of artificial intelligence, shows promising results in cardiology, especially in cardiac Imaging. ML algorithms allow cardiologists to explore new possibilities and make detection less obvious. This provides new opportunities to improve patient care and open new doors for medical decision-making. This review highlights the role of Machine learning in cardiac imaging for the accuracy of phenotyping and predicting heart failure.


  • Computer-aided diagnosis
  • Clinical decision support
  • Computer-aided detection
  • Quantitative analysis tools

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