AIMC Topic: Echocardiography

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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...
Heart Septal Defects, Atrial Middle Aged Adolescent Child, Preschool Child Monitoring, Intraoperative Equipment Design Ultrasonography, Interventional Cardiac Catheterization Young Adult Adult Male Echocardiography Humans Artificial Intelligence Female
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Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jun 11, 2020
Artificial intelligence (AI) is emerging as a key component in diagnostic medical imaging, including echocardiography. AI with deep learning has already been used with automated view labeling, measurements, and interpretation. As the development and ...
Machine Learning Forecasting Echocardiography Deep Learning Humans Artificial Intelligence
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Strain Curve Classification Using Supervised Machine Learning Algorithm with Physiologic Constraints.

Ultrasound in medicine & biology Jun 4, 2020
Speckle tracking echocardiography (STE) enables quantification of myocardial deformation by a generation of spatiotemporal strain curves or time-strain curves (TSCs). Currently, only assessment of peak global longitudinal strain is employed in clinic...
Humans Echocardiography Female Heart Adult Supervised Machine Learning Male Electrophysiologic Techniques, Cardiac
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Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.

Circulation. Cardiovascular imaging May 18, 2020
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Echocardiography Middle Aged Comorbidity Severity of Illness Index Aged Aged, 80 and over Male Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Cause of Death Hemodynamics Age Factors Cluster Analysis Aortic Valve Stenosis Humans Decision Support Techniques Phenotype Prospective Studies Prognosis Female Reproducibility of Results Risk Factors
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Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning.

Biomolecules Apr 25, 2020
A proper echocardiographic study requires several video clips recorded from different acquisition angles for observation of the complex cardiac anatomy. However, these video clips are not necessarily labeled in a database. Identification of the acqui...
Echocardiography Humans Middle Aged Deep Learning Image Processing, Computer-Assisted Female Aged Male
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Video-based AI for beat-to-beat assessment of cardiac function.

Nature Mar 25, 2020
Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular disease, screening for cardiotoxicity and decisions regarding the clinical management of patients with a critical illness. However, human assessment of cardiac fun...
Datasets as Topic Models, Cardiovascular Heart Failure Atrial Fibrillation Heart Diseases Video Recording Hospitals Deep Learning Heart Prospective Studies Reproducibility of Results Ventricular Function, Left Echocardiography Humans
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Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning.

Computational and mathematical methods in medicine Mar 19, 2020
BACKGROUND: Interactive echocardiography translation is an efficient educational function to master cardiac anatomy. It strengthens the student's understanding by pixel-level translation between echocardiography and theoretically sketch images. Previ...
Computer-Assisted Instruction Computational Biology Heart Education, Medical, Graduate Humans Neural Networks, Computer Algorithms Echocardiography Deep Learning Image Processing, Computer-Assisted
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Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Humans Prospective Studies Prognosis Retrospective Studies Female Aged Unsupervised Machine Learning Predictive Value of Tests Registries Patient Readmission Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Pattern Recognition, Automated Ventricular Function, Left Echocardiography Middle Aged Disease Progression Aged, 80 and over Adult Male
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Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and clinical research, portability of NLP approaches across multiple sites remains a major challenge. This study investigated the portabi...
Heart Valve Diseases Health Information Interoperability Humans Retrospective Studies Electronic Health Records Echocardiography Narration Natural Language Processing Heart
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Deep Learning for Assessment of Left Ventricular Ejection Fraction from Echocardiographic Images.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Feb 25, 2020
Humans Ventricular Function, Left Stroke Volume Echocardiography Deep Learning Ventricular Dysfunction, Left
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