AIMC Topic: Echocardiography
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A learning-based, region of interest-tracking algorithm for catheter detection in echocardiography.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 5, 2022
Echocardiography (echo) is gaining popularity to guide the catheter during surgical procedures. However, it is difficult to discern the catheter tip in echo even with an acoustically active catheter. An acoustically active catheter is detected for th...
Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation.
IEEE transactions on medical imaging
Aug 1, 2022
Motion estimation in echocardiography plays an important role in the characterization of cardiac function, allowing the computation of myocardial deformation indices. However, there exist limitations in clinical practice, particularly with regard to ...
Artificial intelligence in echocardiography: Review and limitations including epistemological concerns.
Echocardiography (Mount Kisco, N.Y.)
Jul 9, 2022
BACKGROUND AND PURPOSE: In this review we describe the use of artificial intelligence in the field of echocardiography. Various aspects and terminologies used in artificial intelligence are explained in an easy-to-understand manner and supplemented w...
Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging.
Computer methods and programs in biomedicine
Jun 21, 2022
BACKGROUND AND OBJECTIVE: Incomplete Kawasaki disease (KD) has often been misdiagnosed due to a lack of the clinical manifestations of classic KD. However, it is associated with a markedly higher prevalence of coronary artery lesions. Identifying cor...
Explicit and automatic ejection fraction assessment on 2D cardiac ultrasound with a deep learning-based approach.
Computers in biology and medicine
May 17, 2022
BACKGROUND: Ejection fraction (EF) is a key parameter for assessing cardiovascular functions in cardiac ultrasound, but its manual assessment is time-consuming and subject to high inter and intra-observer variability. Deep learning-based methods have...
A Stress Test of Artificial Intelligence: Can Deep Learning Models Trained From Formal Echocardiography Accurately Interpret Point-of-Care Ultrasound?
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
May 12, 2022
OBJECTIVES: To test if a deep learning (DL) model trained on echocardiography images could accurately segment the left ventricle (LV) and predict ejection fraction on apical 4-chamber images acquired by point-of-care ultrasound (POCUS).
rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography.
Circulation
May 9, 2022
BACKGROUND: Timely diagnosis of structural heart disease improves patient outcomes, yet many remain underdiagnosed. While population screening with echocardiography is impractical, ECG-based prediction models can help target high-risk patients. We de...
Retraining an Artificial Intelligence Algorithm to Calculate Left Ventricular Ejection Fraction in Pediatrics.
Journal of cardiothoracic and vascular anesthesia
May 7, 2022
OBJECTIVES: Identifying patients with low left ventricular ejection fraction (LVEF) and monitoring LVEF responses to treatment are important clinical goals. Can a deep-learning algorithm predict pediatric LVEF within clinically acceptable error?
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.
IEEE transactions on medical imaging
May 2, 2022
Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in computer-aided disease assessment. Most deep regression methods train t...
Automated catheter tip repositioning for intra-cardiac echocardiography.
International journal of computer assisted radiology and surgery
Apr 25, 2022
PURPOSE: Intra-Cardiac Echocardiography (ICE) is a powerful imaging modality for guiding cardiac electrophysiology and structural heart interventions. ICE provides real-time observation of anatomy and devices, while enabling direct monitoring of pote...
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