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Related Concept Videos

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 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 I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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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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Imaging Studies VII: Vascular Imaging01:19

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Updated: Nov 19, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Artificial Intelligence and Machine Learning in Cardiovascular Imaging.

Karthik Seetharam1, James K Min1

  • 1CLEERLY, INC., NEW YORK, NEW YORK.

Methodist Debakey Cardiovascular Journal
|January 27, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) offer new ways to improve cardiovascular imaging diagnosis and prognosis. This review explores AI and ML applications in various cardiovascular imaging techniques.

Keywords:
artificial intelligencedeep learning algorithmsmachine learning

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Cardiovascular disease is a primary cause of death in Western nations, presenting complex patient management challenges.
  • Artificial intelligence (AI) is increasingly relevant across industries, including cardiovascular imaging.
  • Machine learning (ML), a subset of AI, shows significant potential in diagnostic imaging.

Purpose of the Study:

  • To review the emerging role and impact of AI and ML in cardiovascular imaging.
  • To highlight the applications of AI and ML across various cardiovascular imaging modalities.

Main Methods:

  • Review of current literature on AI and ML in cardiovascular imaging.
  • Analysis of the capabilities of ML beyond conventional statistical methods.
  • Exploration of how AI and ML can uncover hidden patterns in imaging data.

Main Results:

  • ML demonstrates significant promise in enhancing diagnostic capabilities within cardiovascular imaging.
  • AI and ML can potentially improve the accuracy of diagnosis and prognosis.
  • These technologies offer new computational possibilities beyond traditional statistical approaches.

Conclusions:

  • AI and ML are poised to revolutionize cardiovascular imaging.
  • The integration of AI and ML is expected to positively influence patient diagnosis and prognosis.
  • Further exploration of AI and ML applications in this field is warranted.