AIMC Topic: Echocardiography

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Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point-of-view from "the other side of the coin".

Journal of clinical ultrasound : JCU Apr 24, 2022
Cardiovascular imaging has achieved a crucial role in the management of cardiovascular diseases. In this field, echocardiography advantages include wide availability, portability, and affordability, at a relatively low cost. However, echocardiographi...
Artificial Intelligence Cardiovascular Diseases Echocardiography Humans
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Future Guidelines for Artificial Intelligence in Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Apr 23, 2022
Machine Learning Humans Echocardiography Forecasting Artificial Intelligence
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A multimodal deep learning model for cardiac resynchronisation therapy response prediction.

Medical image analysis Apr 20, 2022
We present a novel multimodal deep learning framework for cardiac resynchronisation therapy (CRT) response prediction from 2D echocardiography and cardiac magnetic resonance (CMR) data. The proposed method first uses the 'nnU-Net' segmentation model ...
Deep Learning Heart Heart Failure Humans Cardiac Resynchronization Therapy Echocardiography
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MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Mar 30, 2022
Segmentation of the left ventricular (LV) myocardium in 2-D echocardiography is essential for clinical decision making, especially in geometry measurement and index computation. However, segmenting the myocardium is a time-consuming process and chall...
Echocardiography Image Processing, Computer-Assisted Neural Networks, Computer Myocardium Heart Ventricles
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Artificial intelligence in perinatal diagnosis and management of congenital heart disease.

Seminars in perinatology Mar 13, 2022
Prenatal diagnosis and management of congenital heart disease (CHD) has progressed substantially in the past few decades. Fetal echocardiography can accurately detect and diagnose approximately 85% of cardiac anomalies. The prenatal diagnosis of CHD ...
Echocardiography Heart Defects, Congenital Pregnancy Female Prenatal Diagnosis Humans Artificial Intelligence Algorithms
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Automated detection scheme for acute myocardial infarction using convolutional neural network and long short-term memory.

PloS one Feb 25, 2022
The early detection of acute myocardial infarction, which is caused by lifestyle-related risk factors, is essential because it can lead to chronic heart failure or sudden death. Echocardiography, among the most common methods used to detect acute myo...
Neural Networks, Computer Female Aged Aged, 80 and over Humans Myocardium Myocardial Infarction Middle Aged Male Image Processing, Computer-Assisted Echocardiography
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Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical dataset.

The international journal of cardiovascular imaging Feb 24, 2022
Use of machine learning (ML) for automated annotation of heart structures from echocardiographic videos is an active research area, but understanding of comparative, generalizable performance among models is lacking. This study aimed to (1) assess th...
Heart Atria Image Processing, Computer-Assisted Predictive Value of Tests Echocardiography Deep Learning Humans Machine Learning
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Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

Journal of healthcare engineering Dec 16, 2021
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultrasound flow vector imaging (VFM) technique, which requires proprietary software to acquire raw Doppl...
Heart Ventricles Deep Learning Humans Blood Flow Velocity Renal Dialysis Echocardiography
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Automatic morphological classification of mitral valve diseases in echocardiographic images based on explainable deep learning methods.

International journal of computer assisted radiology and surgery Dec 12, 2021
PURPOSE: Carpentier's functional classification is a guide to explain the types of mitral valve regurgitation based on morphological features. There are four types of pathological morphologies, regardless of the presence or absence of mitral regurgit...
Mitral Valve Insufficiency Mitral Valve Prolapse Deep Learning Mitral Valve Humans Echocardiography
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Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study.

The Lancet. Digital health Dec 1, 2021
BACKGROUND: Echocardiography is the diagnostic modality for assessing cardiac systolic and diastolic function to diagnose and manage heart failure. However, manual interpretation of echocardiograms can be time consuming and subject to human error. Th...
Image Interpretation, Computer-Assisted Echocardiography Cohort Studies Heart Deep Learning Humans Cardiovascular Diseases
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