Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

41
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...
41
Computed Tomography01:10

Computed Tomography

4.6K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.6K
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

39
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...
39
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

26
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
26
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

59
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,...
59

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Heparin-Induced Anaphylaxis With Cardiac Arrest in a Patient With Alpha-Gal Syndrome: A Case Report.

Cureus·2026
Same author

Age and sex specific coronary plaque characteristics among South Asians: Insights from the DILWALE CTA study.

American journal of preventive cardiology·2026
Same author

pH-Responsive Hydroxypropyl Cellulose-Based Membranes for Controlled Mass Transport and Drug Release.

Membranes·2026
Same authorSame journal

Beyond LDL-C: Triangulating residual risk via lipoprotein(a), remnant cholesterol, and vascular inflammation.

Progress in cardiovascular diseases·2026
Same author

Exogenous melatonin mitigates vanadium toxicity in Brassica napus L.: a transcriptomic perspective.

BMC plant biology·2026
Same author

Primary Prevention of Dyslipidemia: 10 Practice-Changing Takeaways from the 2026 ACC/AHA Multisociety Guideline.

Current atherosclerosis reports·2026

Related Experiment Video

Updated: Jul 16, 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

324

Artificial intelligence in cardiac computed tomography.

Afolasayo A Aromiwura1, Tyler Settle2, Muhammad Umer3

  • 1Department of Medicine, University of Louisville, Louisville, KY, USA.

Progress in Cardiovascular Diseases
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

Artificial Intelligence (AI) enhances cardiac computed tomography angiography (CCTA) by improving image analysis and workflow. This technology aids in diagnosis, prognostication, and operational efficiency in cardiovascular care.

Keywords:
Artificial intelligenceCardiovascular diseaseComputed tomographyDeep learningMachine learning

More Related Videos

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

3.7K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

879

Related Experiment Videos

Last Updated: Jul 16, 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

324
High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
11:09

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

3.7K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

879

Area of Science:

  • Cardiovascular Imaging and Artificial Intelligence
  • Radiomics and Machine Learning in Healthcare

Background:

  • Artificial Intelligence (AI) and machine learning (ML) are increasingly utilized in healthcare for data analysis and prediction.
  • Coronary computed tomography angiography (CCTA) generates substantial data, making it suitable for AI applications in cardiac segmentation, plaque quantification, and event prediction.

Purpose of the Study:

  • To review current and emerging clinical applications of AI in cardiac CT.
  • To discuss AI algorithms and radiomic analysis relevant to cardiovascular imaging.
  • To outline the advantages and limitations of AI in cardiac CT.

Main Methods:

  • Review of existing literature on AI applications in cardiac CT.
  • Discussion of AI algorithms and radiomic analysis techniques.
  • Summary of clinical use cases in CCTA analysis and workflow optimization.

Main Results:

  • AI significantly aids in cardiac segmentation, calcium scoring, plaque quantification, and event prediction using CCTA data.
  • AI applications extend to improving imaging workflow, including patient scheduling and report generation.
  • An exponential increase in AI-related studies for cardiac CT has been observed in the last five years.

Conclusions:

  • AI offers substantial benefits for cardiac CT analysis and workflow automation.
  • Further research and validation are needed to fully integrate AI into routine cardiovascular care.
  • Understanding AI's advantages and limitations is crucial for its effective implementation in cardiology.