AIMC Topic: Echocardiography
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.
JACC. Cardiovascular imaging
Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Risk Factors
Aged
Aged, 80 and over
Male
Echocardiography
Middle Aged
Risk Assessment
Comorbidity
Phenotype
Prognosis
Female
Reproducibility of Results
Humans
Heart Failure
Aortic Valve Stenosis
Severity of Illness Index
Aortic Valve
Time Factors
Unsupervised Machine Learning
Cluster Analysis
Predictive Value of Tests
A Shape-Consistent Deep-Learning Segmentation Architecture for Low-Quality and High-Interference Myocardial Contrast Echocardiography.
Ultrasound in medicine & biology
Aug 14, 2024
OBJECTIVE: Myocardial contrast echocardiography (MCE) plays a crucial role in diagnosing ischemia, infarction, masses and other cardiac conditions. In the realm of MCE image analysis, accurate and consistent myocardial segmentation results are essent...
Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.
PloS one
Aug 14, 2024
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro...
A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.
Journal of imaging informatics in medicine
Aug 13, 2024
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
High-Throughput Deep Learning Detection of Mitral Regurgitation.
Circulation
Aug 12, 2024
BACKGROUND: Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography with Doppler imaging. This study presents the development and validation of a fully automated deep learning pipeline for identifying apical 4-chamber v...
Use of artificial intelligence-guided echocardiography to detect cardiac dysfunction and heart valve disease in rural and remote areas: Rationale and design of the AGILE-echo trial.
American heart journal
Aug 10, 2024
BACKGROUND: Transthoracic echocardiography (TTE) is essential in the diagnosis of cardiovascular diseases (CVD), including but not limited to heart failure (HF) and heart valve disease (HVD). However, its dependence on expert acquisition means that i...
Assessment of left ventricular wall thickness and dimension: accuracy of a deep learning model with prediction uncertainty.
The international journal of cardiovascular imaging
Aug 10, 2024
Left ventricular (LV) geometric patterns aid clinicians in the diagnosis and prognostication of various cardiomyopathies. The aim of this study is to assess the accuracy and reproducibility of LV dimensions and wall thickness using deep learning (DL)...
Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems.
Research in veterinary science
Aug 8, 2024
A heart-convolutional neural network (heart-CNN) was designed and tested for the automatic classification of chest radiographs in dogs affected by myxomatous mitral valve disease (MMVD) at different stages of disease severity. A retrospective and mul...
A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Echocardiography is an essential procedure for the prenatal examination of the fetus for congenital heart disease (CHD). Accurate segmentation of key anatomical structures in a four-chamber view is an essential step in measuring fetal growth paramete...
Transforming Echocardiography: The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy and Accessibility.
Internal medicine (Tokyo, Japan)
Jul 25, 2024
Artificial intelligence (AI) has shown transformative potential in various medical fields, including diagnostic imaging. Recent advances in AI-driven technologies have opened new avenues for improving echocardiographic practices. AI algorithms enhanc...
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