AIMC Topic: Echocardiography
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Deep Learning Models for Predicting Left Heart Abnormalities From Single-Lead Electrocardiogram for the Development of Wearable Devices.
Circulation journal : official journal of the Japanese Circulation Society
Nov 14, 2023
BACKGROUND: Left heart abnormalities are risk factors for heart failure. However, echocardiography is not always available. Electrocardiograms (ECGs), which are now available from wearable devices, have the potential to detect these abnormalities. Ne...
Artificial Intelligence to Speed Up Training in Echocardiography: The Next Frontier.
Circulation. Cardiovascular imaging
Nov 13, 2023
Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.
JACC. Cardiovascular imaging
Nov 8, 2023
BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart failure if appropriately identified and treated. However, its diagnosis remains a challenge for clinicians. Artificial intelligence may enhance the iden...
Low Performance of ChatGPT on Echocardiography Board Review Questions.
JACC. Cardiovascular imaging
Nov 8, 2023
Development of artificial intelligence-based slow-motion echocardiography and clinical usefulness for evaluating regional wall motion abnormalities.
The international journal of cardiovascular imaging
Nov 8, 2023
The diagnostic accuracy of exercise stress echocardiography (ESE) for myocardial ischemia requires improvement, given that it currently depends on the physicians' experience and image quality. To address this issue, we aimed to develop artificial int...
Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.
Journal of advanced research
Nov 4, 2023
INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and rural areas can be a challenging task. However, recent advancements in computer vision offer the potential for automated systems to detect PAH from ech...
Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency.
The international journal of cardiovascular imaging
Oct 23, 2023
Machine learning techniques designed to recognize views and perform measurements are increasingly used to address the need for automation of the interpretation of echocardiographic images. The current study was designed to determine whether a recentl...
Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography.
Cardiovascular ultrasound
Oct 13, 2023
BACKGROUND: Measurement of the left ventricular outflow tract diameter (LVOTd) in echocardiography is a common source of error when used to calculate the stroke volume. The aim of this study is to assess whether a deep learning (DL) model, trained on...
Automated 2-D and 3-D Left Atrial Volume Measurements Using Deep Learning.
Ultrasound in medicine & biology
Oct 8, 2023
OBJECTIVE: Echocardiography, a critical tool for assessing left atrial (LA) volume, often relies on manual or semi-automated measurements. This study introduces a fully automated, real-time method for measuring LA volume in both 2-D and 3-D imaging, ...
Artificial Intelligence-Driven Image Quality Selection During Myocardial Contrast Echocardiography: A New Path to Precision.
Ultrasound in medicine & biology
Oct 8, 2023
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