Balbir Singh¹, Aviral Mishra² and Weichih Hu³*

¹M.J.P. Rohilkhand University, Bareilly, India
²Chandigarh University, India
³Chung Yuan Christian University, Taiwan

*Corresponding Author: Weichih Hu, Chung Yuan Christian University, Taiwan.

Received: December 09, 2021; Published: June 14, 2022

Abstract

Machine learning (ML) has changed an essential aspect of human life. This is a subdivision of Artificial intelligence where the machines automatically extract valuable information by the databases' patterns. It has been widely used in medical science, and particularly within the area of computational cardiology. Here, in this chapter, we present a brief picture of a machine-learning algorithm that is used for predictive data-driven models. We also emphasize various domains of machine learning application, such as non-invasive imaging modalities. We bring to a close-by reviewing the drawbacks associated with the current application of Machine learning algorithms within computational cardiology.

Keywords: Computational Cardiology; Artificial Intelligence; Medical Imaging; Machine learning; Medical Science

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Citation

Citation: Weichih Hu., et al. “Integration of Machine Learning into the Field of Cardiac Imaging". Acta Scientific Medical Sciences 6.7 (2022): 46-54.

Copyright

Copyright: © 2022 Weichih Hu., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.