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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

268
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

426
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
426

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Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
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Artificial Intelligence for Cardiac Imaging-Genetics Research.

Antonio de Marvao1, Timothy J W Dawes1, Declan P O'Regan1

  • 1MRC London Institute of Medical Sciences, Imperial College London, London, United Kingdom.

Frontiers in Cardiovascular Medicine
|February 11, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing cardiac imaging-genetics by analyzing complex genetic and imaging data. This approach promises to enhance our understanding of cardiovascular disease risk factors.

Keywords:
artificial intelligencecardiologycardiovascular imagingdeep learninggeneticsgenomicsimaging-geneticsmachine learning

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Area of Science:

  • Cardiovascular research
  • Medical imaging
  • Genetics
  • Artificial intelligence

Background:

  • Cardiovascular diseases are a leading global cause of death.
  • Genetics significantly influences cardiovascular disease risk.
  • Cardiac imaging-genetics links genetic variants to imaging-derived phenotypes.

Purpose of the Study:

  • To review the application of artificial intelligence (AI) in cardiac imaging-genetics.
  • To discuss challenges and future directions in the field.
  • To explore how AI can improve understanding of cardiovascular health and disease.

Main Methods:

  • Review of current AI applications in cardiac imaging-genetics research.
  • Discussion of challenges in data integration and analysis.
  • Exploration of deep learning for high-dimensional data.

Main Results:

  • AI methods, particularly deep learning, are well-suited for the high dimensionality and scalability challenges in cardiac imaging-genetics.
  • AI shows promise in moving beyond simple descriptors to high-resolution models of cardiac shape and function.
  • AI facilitates multivariate and genome-wide analyses.

Conclusions:

  • AI is a transformative tool for cardiac imaging-genetics research.
  • Addressing methodological challenges is crucial for mainstream AI adoption.
  • AI holds significant potential for elucidating the genetic and environmental basis of cardiovascular conditions.