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Related Concept Videos

Imaging Studies for Cardiovascular System I:Echocardiography01:17

Imaging Studies for Cardiovascular System I:Echocardiography

797
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,...
797
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...
702

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Related Experiment Video

Updated: Feb 24, 2026

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
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Proof-of-Concept Automated Framework for Intraoperative Transesophageal Echocardiography: View Classification and

Trevor Chan1, Shir Goldfinger2, Rachel Hannah Grasfield3

  • 1Department of Radiology, University of Pennsylvania, Philadelphia; Department of Bioengineering, University of Pennsylvania, Philadelphia.

Journal of Cardiothoracic and Vascular Anesthesia
|February 22, 2026
PubMed
Summary

This study developed an automated framework for interpreting intraoperative transesophageal echocardiography (TEE) during cardiac surgery. The AI demonstrated promising accuracy in classifying views and assessing cardiac function, suggesting potential for clinical utility.

Keywords:
cardiac surgerydeep learningechocardiographyperioperative medicine

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Area of Science:

  • Cardiovascular Imaging
  • Artificial Intelligence in Medicine
  • Echocardiography

Background:

  • Intraoperative transesophageal echocardiography (TEE) is crucial for guiding cardiac surgery.
  • Manual interpretation of TEE is time-consuming and requires specialized expertise.
  • Automating TEE analysis could enhance efficiency and consistency in clinical practice.

Purpose of the Study:

  • To develop and evaluate a proof-of-concept automated framework for integrated intraoperative TEE interpretation.
  • To assess the framework's performance in TEE view classification, left ventricular ejection fraction (LVEF) and right ventricular systolic function (RVSF) assessment, and tricuspid regurgitation (TR) grading.

Main Methods:

  • A cross-sectional study utilizing TEE video clips and reports from 6,016 patients undergoing cardiac surgery (2018-2023).
  • Development of machine learning models for TEE view classification and diagnostic prediction.
  • Training involved over 700,000 TEE clips; performance evaluated on independent test sets.

Main Results:

  • The view classification model achieved 86% accuracy.
  • The diagnostic model demonstrated strong performance in differentiating LVEF categories (AUROC=0.86-0.95) and RVSF (AUROC=0.82-0.92).
  • The model also showed capability in grading TR (AUROC=0.69-0.79).

Conclusions:

  • The automated TEE interpretation framework shows encouraging proof-of-concept results.
  • The system demonstrates potential for accurate view classification and cardiac function quantification.
  • Further development could lead to valuable intraoperative clinical utility.