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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 IV: CMRI01:21

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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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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Imaging Studies for Cardiovascular System I:Echocardiography01:17

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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.
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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

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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.
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Artificial Intelligence and Digital Technology in Cardiovascular Imaging: A Narrative Review.

Constantinos H Papadopoulos1,2, Dimitris Karelas1, Christina Floropoulou1

  • 1Echocardiographic Laboratory, 2nd Cardiology Department, Korgialeneio-Benakeio Red Cross Hospital, 11526 Athens, Greece.

Biotech (Basel (Switzerland))
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Summary

Artificial intelligence (AI) and digital technologies are revolutionizing cardiovascular imaging, improving accuracy and efficiency in assessments. Challenges in validation and integration remain for widespread clinical adoption of these advanced AI tools.

Keywords:
artificial intelligencecardiac magnetic resonancecardiovascular imagingcomputed tomographydeep learningdigital healthechocardiographymachine learningnuclear cardiologyradiomics

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Area of Science:

  • Cardiovascular Imaging
  • Artificial Intelligence
  • Digital Health

Background:

  • Digital technologies and AI are transforming cardiovascular imaging.
  • These advancements enable more precise, efficient, and reproducible cardiac assessments.

Purpose of the Study:

  • To review recent advances in AI-driven cardiovascular imaging.
  • To summarize applications in image acquisition, quantification, and interpretation.

Main Methods:

  • Narrative review of contemporary literature.
  • Focus on machine learning and deep learning applications.
  • Analysis of AI in echocardiography, CT, MRI, and nuclear imaging.

Main Results:

  • AI enhances image quality, reduces analysis time, and automates measurements.
  • AI facilitates pattern recognition for diagnosis and risk stratification.
  • Digital platforms support remote imaging and AI-assisted training.

Conclusions:

  • AI and digital technologies significantly improve cardiovascular imaging accuracy, efficiency, and accessibility.
  • Safe clinical integration requires validation, transparency, and ethical frameworks.