Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Publication date: Mar 19, 2020

There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and deep learning approaches in cardiovascular (CV) medicine. In the era of modern medicine, AI and electronic health records hold the promise to improve the understanding of disease conditions and bring a personalized approach to CV care. The field of CV imaging (CVI), incorporating echocardiography, cardiac computed tomography, cardiac magnetic resonance imaging and nuclear imaging, with sophisticated imaging techniques and high volumes of imaging data, is primed to be at the forefront of the revolution in precision cardiology. This review provides a contemporary overview of the CVI imaging applications of AI, including a critique of the strengths and potential limitations of deep learning approaches.

Xu, B., Kocyigit, D., Griffin, B.P., and Cheng, F. Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review. 06558. 2020 Prog Cardiovasc Dis.

Concepts Keywords
AI Care imaging
Artificial Intelligence Cardiac imaging
Cardiology Cardiac imaging
Cardiovascular Medicine
Computed Tomography Clinical medicine
Deep Learning Medical specialties
Echocardiography Tomography
Medicine Echocardiography
Nuclear Imaging Book:Choosing Wisely
Shelby Kutty
Tomography
Artificial intelligence
Magnetic resonance imaging

Similar

Original Article

Leave a Comment

Your email address will not be published. Required fields are marked *