AIMC Topic: Echocardiography

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Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.

Mayo Clinic proceedings Sep 19, 2020
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management....
Pneumonia, Viral Feasibility Studies Coronavirus Infections Ventricular Dysfunction, Left Betacoronavirus SARS-CoV-2 Aged Aged, 80 and over Adult Male Echocardiography Middle Aged Electrocardiography Pandemics COVID-19 Retrospective Studies Female Humans Artificial Intelligence
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Point-of-Care Ultrasound.

Current cardiology reports Sep 17, 2020
PURPOSE OF THE REVIEW: Point-of-care ultrasound using small ultrasound devices has expanded beyond emergency and critical care medicine to many other subspecialties. Awareness of the strengths and limitations of the technology and knowledge of the ap...
Humans Artificial Intelligence Echocardiography Point-of-Care Systems Ultrasonography Physical Examination
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Prospect of artificial intelligence for the assessment of cardiac function and treatment of cardiovascular disease.

Future cardiology Sep 16, 2020
Artificial Intelligence Cardiovascular Diseases Echocardiography Cardiac Imaging Techniques Humans
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Artificial Intelligence in Echocardiography for Anesthesiologists.

Journal of cardiothoracic and vascular anesthesia Aug 24, 2020
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are high levels of interoperator variations in echocardiography interpretations that could lead to inac...
Anesthesiologists Artificial Intelligence Cardiovascular Diseases Echocardiography Monitoring, Intraoperative Humans
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Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.

BMC cardiovascular disorders Aug 14, 2020
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to iden...
Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Male Ventricular Function, Left Stroke Volume Echocardiography Peptide Fragments Heart Failure Ventricular Dysfunction, Left Natriuretic Peptide, Brain Deep Learning Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Humans Biomarkers Retrospective Studies Female Risk Factors Aged Aged, 80 and over Asymptomatic Diseases Diastole
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The Role of Artificial Intelligence in Echocardiography.

Current cardiology reports Jul 30, 2020
PURPOSE OF REVIEW: Echocardiography is an indispensable tool in diagnostic cardiology and is fundamental to clinical care. Significant advances in cardiovascular imaging technology paralleled by rapid growth in electronic medical records, miniaturize...
Artificial Intelligence Machine Learning Algorithms Echocardiography Cardiology Humans
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A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Sensitivity and Specificity Heart Ventricles Male Ventricular Remodeling Echocardiography Reproducibility of Results Area Under Curve Ventricular Dysfunction, Left Middle Aged Humans Risk Factors ROC Curve Coronary Angiography Machine Learning Imaging, Three-Dimensional Aged Percutaneous Coronary Intervention Female Adult Models, Statistical Myocardial Infarction Predictive Value of Tests
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Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...
Humans Neural Networks, Computer Databases, Factual Prostatic Neoplasms Prostate Observer Variation Pattern Recognition, Automated Brachytherapy Diagnosis, Computer-Assisted Deep Learning Ultrasonography Image Processing, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results Male Echocardiography
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Radiomics in Echocardiography: Deep Learning and Echocardiographic Analysis.

Current cardiology reports Jul 9, 2020
PURPOSE OF REVIEW: Recent development in artificial intelligence (AI) for cardiovascular imaging analysis, involving deep learning, is the start of a new phase in the research field. We review the current state of AI in cardiovascular field and discu...
Echocardiography Deep Learning Image Processing, Computer-Assisted Humans Artificial Intelligence Cardiovascular Diseases
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Transthoracic echocardiography monitoring during ASD closure using an artificial hand system.

Cardiovascular ultrasound Jun 17, 2020
AIM: Continuous real-time echocardiographic monitoring is essential for guidance during ASD closure. However, transthoracic echocardiography (TTE) can only be implemented intermittently during fluoroscopy. We evaluate a novel approach to provide real...
Ultrasonography, Interventional Humans Cardiac Catheterization Heart Septal Defects, Atrial Male Child, Preschool Echocardiography Child Middle Aged Artificial Intelligence Monitoring, Intraoperative Adolescent Female Equipment Design Young Adult Adult
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