AIMC Topic: Echocardiography
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Mitral Valve Segmentation and Tracking from Transthoracic Echocardiography Using Deep Learning.
Ultrasound in medicine & biology
Feb 9, 2024
OBJECTIVE: Valvular heart diseases (VHDs) pose a significant public health burden, and deciding the best treatment strategy necessitates accurate assessment of heart valve function. Transthoracic echocardiography (TTE) is the key modality to evaluate...
Artificial Intelligence and Echocardiography: A Genuinely Interesting Conundrum.
Journal of cardiothoracic and vascular anesthesia
Jan 24, 2024
Pragmatic Evaluation of a Deep-Learning Algorithm to Automate Ejection Fraction on Hand-Held, Point-of-Care Echocardiography in a Cardiac Surgical Operating Room.
Journal of cardiothoracic and vascular anesthesia
Jan 11, 2024
OBJECTIVE: To test the correlation of ejection fraction (EF) estimated by a deep-learning-based, automated algorithm (Auto EF) versus an EF estimated by Simpson's method.
Advances in the Application of Artificial Intelligence in Fetal Echocardiography.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Jan 9, 2024
Congenital heart disease is a severe health risk for newborns. Early detection of abnormalities in fetal cardiac structure and function during pregnancy can help patients seek timely diagnostic and therapeutic advice, and early intervention planning ...
Deep learning for transesophageal echocardiography view classification.
Scientific reports
Jan 2, 2024
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperative and i...
An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.
Echocardiography (Mount Kisco, N.Y.)
Dec 21, 2023
AIM: To test the feasibility and accuracy of a new attention-based deep learning (DL) method for right ventricular (RV) quantification using 2D echocardiography (2DE) with cardiac magnetic resonance imaging (CMR) as reference.
Ultrafast Cardiac Imaging Using Deep Learning for Speckle-Tracking Echocardiography.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Dec 14, 2023
High-quality ultrafast ultrasound imaging is based on coherent compounding from multiple transmissions of plane waves (PW) or diverging waves (DW). However, compounding results in reduced frame rate, as well as destructive interferences from high-vel...
A comprehensive review of applications of artificial intelligence in echocardiography.
Current problems in cardiology
Dec 1, 2023
Echocardiography plays a crucial role in diagnosis of cardiovascular diseases. Artificial intelligence has emerged as a high-precision tool to automate echocardiographic analysis. This review discusses AI algorithms that have been utilized at various...
Empowering Medical Students: Harnessing Artificial Intelligence for Precision Point-of-Care Echocardiography Assessment of Left Ventricular Ejection Fraction.
International journal of clinical practice
Nov 29, 2023
INTRODUCTION: Point-of-care ultrasound (POCUS) use is now universal among nonexperts. Artificial intelligence (AI) is currently employed by nonexperts in various imaging modalities to assist in diagnosis and decision making.
A Novel Tool for Predicting an Abnormal Echocardiogram in Patients with Pulmonary Embolism: The PEACE Score.
The Journal of emergency medicine
Nov 22, 2023
BACKGROUND: Transthoracic echocardiography (TTE) is an essential tool for risk-stratifying patients with pulmonary embolism (PE), but its availability is limited, often requiring hospitalization. Minimal research exists evaluating clinical and labora...
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