AIMC Topic: Echocardiography
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Artificial intelligence in echocardiography.
Revista espanola de cardiologia (English ed.)
Jul 3, 2021
Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies.
Circulation journal : official journal of the Japanese Circulation Society
Jun 26, 2021
BACKGROUND: Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.
Deep learning-based automated left ventricular ejection fraction assessment using 2-D echocardiography.
American journal of physiology. Heart and circulatory physiology
Jun 25, 2021
Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF) measurement, but the diagnostic performance was rarely evaluated for various phenotypes of heart disease. This study aims to evaluate a new DL algorithm for ...
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography.
JACC. Cardiovascular imaging
Jun 16, 2021
OBJECTIVES: This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible and comparable with a convent...
Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population.
Mayo Clinic proceedings
Jun 10, 2021
OBJECTIVE: To validate an artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm for the detection of preclinical left ventricular systolic dysfunction (LVSD) in a large community-based cohort.
Deep-Learning Models for the Echocardiographic Assessment of Diastolic Dysfunction.
JACC. Cardiovascular imaging
May 19, 2021
OBJECTIVES: The authors explored a deep neural network (DeepNN) model that integrates multidimensional echocardiographic data to identify distinct patient subgroups with heart failure with preserved ejection fraction (HFpEF).
Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative.
Circulation. Cardiovascular imaging
May 17, 2021
BACKGROUND: requires training and validation to standards expected of humans. We developed an online platform and established the Unity Collaborative to build a dataset of expertise from 17 hospitals for training, validation, and standardization of s...
Applications of artificial intelligence and machine learning approaches in echocardiography.
Echocardiography (Mount Kisco, N.Y.)
May 13, 2021
Artificial intelligence and machine learning approaches have become increasingly applied in the field of echocardiography to streamline diagnostic and prognostic assessments, and to support treatment decisions. Artificial intelligence and machine lea...
Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms.
Nature communications
May 11, 2021
Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the similarity of disease manifestations to more prevalent disorders. The deployment of approved therapies for CA has been limited by delayed diagnosis of...
Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.
Nature medicine
May 6, 2021
We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early diagnosis of low ejection fraction (EF), a condition that is unde...
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