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Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

568
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,...
568
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

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Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
468

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Related Experiment Video

Updated: Nov 13, 2025

Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
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Routine Echocardiography and Artificial Intelligence Solutions.

Mark J Schuuring1, Ivana Išgum2,3,4, Bernard Cosyns5

  • 1Amsterdam University Medical Centers -Location Academic Medical Center, Department of Cardiology, University of Amsterdam, Amsterdam, Netherlands.

Frontiers in Cardiovascular Medicine
|March 12, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers promising solutions for automating echocardiography analysis, improving efficiency in image acquisition, interpretation, and reporting. While performance is good, further external validation is needed for widespread clinical adoption.

Keywords:
artificial intelligencecardiac imagingdiagnosisechocardiographyimage analysisprediction

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Echocardiography is a widely used, non-invasive diagnostic tool recommended for numerous cardiac conditions.
  • Increased use has led to a high workload for manual image analysis, quantification, and reporting.
  • Advancements in AI and large digital datasets enable automation of echocardiography workflows.

Purpose of the Study:

  • To review published AI solutions for echocardiography analysis.
  • To assess the performance, data characteristics, and population demographics of AI applications.
  • To explore AI's potential in automating image acquisition, analysis, reporting, and education.

Main Methods:

  • Systematic review of published AI solutions for echocardiography.
  • Analysis of AI methods' performance, data characteristics, and imaged populations.
  • Categorization of AI applications by task (e.g., image acquisition, analysis, prediction).

Main Results:

  • AI applications exist for automating various echocardiography tasks, including diagnostic and predictive functions.
  • Left ventricular function assessment and quantification are common AI applications.
  • Automated classification, quality enhancement, function assessment, disease classification, and event prediction show good performance, though external validation is often lacking.

Conclusions:

  • AI solutions show promise for automating echocardiography tasks with good performance.
  • Future benefits of AI in echocardiography include reduced workload and improved clinical outcomes through automated analysis and interpretation.
  • Challenges exist but are surmountable, paving the way for AI integration.