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Canadian Journal of Cardiology

Artificial Intelligence Detection of Left Ventricular Systolic Dysfunction Using Chest X-Rays: Prospective Validation, Please

Published:February 14, 2022DOI:https://doi.org/10.1016/j.cjca.2022.02.010
      Applications of artificial intelligence (AI) in medicine have become a major research focus over the last decade. This is mainly because of the development of convolutional neural networks for image analysis.
      • Krizhevsky A.
      • Sutskever I.
      • Hinton G.E.
      ImageNet classification with deep convolutional neural networks.
      Such deep-learning (DL) models are particularly powerful, as they automate feature extraction and do not rely on human-derived features. DL methods have been shown to outperform humans at many tasks such as image classification (recognize an image based on a predefined set of categories), segmentation (partition the image into different regions based on their respective appearance), and regression (calculate a continuous value based on the appearance of the image). These techniques have since been applied to all cardiac imaging modalities.
      • Lauzier P.T.
      • Avram R.
      • Dey D.
      • Slomka P.
      • Afilalo J.
      • Chow B.J.
      The evolving role of artificial intelligence in cardiac image analysis.
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