Early Detection of Left Ventricular Dysfunction With Machine Learning‐Based Strain Imaging in Aortic Stenosis Patients

This novel, clinically interpretable model leverages the potential of strain imaging to enhance diagnostic accuracy and guide clinical decision-making in LV dysfunction, thereby improving clinical practice.

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Publication Details

Journal
Echocardiography
Published
2024-11-01
DOI
https://doi.org/10.1111/echo.70007
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Early Detection of Left Ventricular Dysfunction With Machine Learning‐Based Strain Imaging in Aortic Stenosis Patients

Amir Yahav, D. Adam
Echocardiography
Cardiac Valve Diseases and Treatments
article

Early Detection of Left Ventricular Dysfunction With Machine Learning‐Based Strain Imaging in Aortic Stenosis Patients

Amir Yahav, D. Adam
article en

Abstract

This novel, clinically interpretable model leverages the potential of strain imaging to enhance diagnostic accuracy and guide clinical decision-making in LV dysfunction, thereby improving clinical practice.

EchocardiographyVol. 41(11)
Technion – Israel Institute of Technology (IL)
Peace, Justice and strong institutions
Openalex Percentile: Top 62%
Cardiac Valve Diseases and Treatments
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Early Detection of Left Ventricular Dysfunction With Machine Learning‐Based Strain Imaging in Aortic Stenosis Patients — Amir Yahav, D. Adam · Echocardiography (2024) | TGRS Research Map | TGRS