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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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,...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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...
Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

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, evaluates...

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Updated: May 31, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Artificial Intelligence in Image-Based Cardiovascular Disease Analysis.

Xin Wang1, Mingcheng Hu2, Connie W Tsao3

  • 11Department of Epidemiology and Biostatistics, College of Integrated Health Sciences and AI Plus Institute, University at Albany, SUNY, Albany, New York, USA;

Annual Review of Biomedical Data Science
|May 28, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing cardiovascular disease (CVD) analysis using medical imaging. This review explores AI

Related Experiment Videos

Last Updated: May 31, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Area of Science:

  • Cardiovascular Disease (CVD) Analysis
  • Artificial Intelligence (AI) in Medical Imaging
  • Diagnostic Technologies

Background:

  • Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide.
  • Traditional CVD analysis methods often rely on subjective interpretation of medical images.
  • Emerging AI technologies offer potential for more objective and efficient CVD assessment.

Purpose of the Study:

  • To provide a comprehensive review of current Artificial Intelligence (AI) applications in image-based cardiovascular disease (CVD) analysis.
  • To systematically categorize AI applications based on anatomical structures (nonvessel and vessel) and imaging modalities.
  • To identify challenges and future research directions in AI-driven CVD diagnostics.

Main Methods:

  • Systematic literature review of AI applications in cardiovascular imaging.
  • Categorization of studies based on anatomical focus: nonvessel structures (ventricles, atria) and vessel structures (aorta, coronary arteries).
  • Inclusion of various imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI).

Main Results:

  • AI demonstrates significant influence in image-based cardiovascular disease (CVD) analysis.
  • Diverse AI applications identified across different anatomical structures and imaging techniques.
  • Review highlights the integration of AI with modalities like CT and MRI for enhanced CVD insights.

Conclusions:

  • AI holds substantial promise for advancing cardiovascular disease (CVD) diagnostics through medical image analysis.
  • Current AI methods face challenges including data variability and interpretability.
  • Future research should focus on addressing limitations to fully realize AI's potential in CVD care.