AIMC Topic: Stroke Volume
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A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.
JACC. Clinical electrophysiology
Jul 19, 2023
BACKGROUND: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they may lead to PVC-induced cardiomyopathy. We created a deep-learning algorithm to predict left ventricular ejection fraction (LVEF) reduction in patients ...
Deep learning-based prognostic model using non-enhanced cardiac cine MRI for outcome prediction in patients with heart failure.
European radiology
Jun 7, 2023
OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival prediction and risk stratification in patients with heart failure.
Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms.
JACC. Cardiovascular imaging
May 10, 2023
BACKGROUND: Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, convention...
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.
Computers in biology and medicine
Apr 24, 2023
Accurate segmentation of the left ventricle (LV) is crucial for evaluating myocardial perfusion SPECT (MPS) and assessing LV functions. In this study, a novel method combining deep learning with shape priors was developed and validated to extract the...
Blinded, randomized trial of sonographer versus AI cardiac function assessment.
Nature
Apr 5, 2023
Artificial intelligence (AI) has been developed for echocardiography, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no o...
Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Mar 16, 2023
AIMS: Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated measurements of LV global longitudin...
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography.
Computers in biology and medicine
Feb 24, 2023
Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic function. However, its clinical calculation requires the physician to interactively segment the left ventricle and obtain the mitral annulus and apical la...
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Feb 7, 2023
BACKGROUND: Significant interobserver and interstudy variability occurs for left ventricular (LV) functional indices despite standardization of measurement techniques. Artificial intelligence models trained on adult echocardiograms are not likely to ...
Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population.
The international journal of cardiovascular imaging
Jan 17, 2023
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of th...
Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.
BMC medical informatics and decision making
Oct 18, 2022
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consu...
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