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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

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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

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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...
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Related Experiment Video

Updated: Aug 3, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

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Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models.

Ahmed Salih1, Ilaria Boscolo Galazzo2, Polyxeni Gkontra3

  • 1William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, United Kingdom (A.S., A.M.L., Z.R.-E., S.E.P.).

Circulation. Cardiovascular Imaging
|April 12, 2023
PubMed
Summary
This summary is machine-generated.

Explainable artificial intelligence (XAI) is crucial for understanding black box models in cardiac imaging. This review covers state-of-the-art XAI methods, guidelines, and future directions in the field.

Keywords:
artificial intelligencecardiac imaging techniquesdiagnostic imagingmachine learning

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Area of Science:

  • Medical imaging
  • Artificial intelligence
  • Machine learning

Background:

  • Artificial intelligence (AI) shows promise in healthcare, including cardiac imaging.
  • Deep learning models in this field are often 'black boxes,' lacking transparency.
  • Explainable artificial intelligence (XAI) is needed to make AI outcomes understandable.

Conclusions:

  • XAI is essential for the trustworthy adoption of AI in cardiac imaging.
  • Further research is needed to develop and validate XAI methods for clinical use.
  • Guidelines and open discussions are vital for advancing XAI in this specialty.