AIMC Topic: Echocardiography
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A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.
PloS one
Apr 28, 2016
Large volumes of data are continuously generated from clinical notes and diagnostic studies catalogued in electronic health records (EHRs). Echocardiography is one of the most commonly ordered diagnostic tests in cardiology. This study sought to expl...
Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos.
Computers in biology and medicine
Apr 2, 2016
Heart disease is the major cause of death as well as a leading cause of disability in the developed countries. Mitral Regurgitation (MR) is a common heart disease which does not cause symptoms until its end stage. Therefore, early diagnosis of the di...
Data mining framework for identification of myocardial infarction stages in ultrasound: A hybrid feature extraction paradigm (PART 2).
Computers in biology and medicine
Feb 10, 2016
Early expansion of infarcted zone after Acute Myocardial Infarction (AMI) has serious short and long-term consequences and contributes to increased mortality. Thus, identification of moderate and severe phases of AMI before leading to other catastrop...
Automated mutual exclusion rules discovery for structured observational codes in echocardiography reporting.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Structured reporting in medicine has been argued to support and enhance machine-assisted processing and communication of pertinent information. Retrospective studies showed that structured echocardiography reports, constructed through point-and-click...
Prognostic value of preoperative N-terminal pro-brain natriuretic peptide in non-cardiac surgery of elderly patients with normal left ventricular systolic function.
Geriatrics & gerontology international
Sep 3, 2015
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) in non-cardiac surgery in elderly patients who showed normal left ventricular function on preoperative echocardiography.
Surgical Procedures, Operative
Male
Female
Humans
Natriuretic Peptide, Brain
Aged
Biomarkers
ROC Curve
Aged, 80 and over
Predictive Value of Tests
Cardiovascular Diseases
Multivariate Analysis
Echocardiography
Preoperative Care
Prognosis
Ventricular Dysfunction, Left
Odds Ratio
Postoperative Complications
Cohort Studies
Risk Assessment
Ventricular Function, Left
Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling.
IEEE transactions on medical imaging
Jun 4, 2015
In this paper we present a compressed sensing (CS) method adapted to 3D ultrasound imaging (US). In contrast to previous work, we propose a new approach based on the use of learned overcomplete dictionaries that allow for much sparser representations...
Echocardiogram enhancement using supervised manifold denoising.
Medical image analysis
May 21, 2015
This paper presents data-driven methods for echocardiogram enhancement. Existing denoising algorithms typically rely on a single noise model, and do not generalize to the composite noise sources typically found in real-world echocardiograms. Our meth...
Artificial intelligence in cardiac sarcoidosis: ECG, Echo, CPET and MRI.
Current opinion in pulmonary medicine
Sep 1, 2025
PURPOSE OF REVIEW: Cardiac sarcoidosis is a form of inflammatory cardiomyopathy that varies in its clinical presentation. It is associated with significant clinical complications such as high-degree atrioventricular block, ventricular tachycardia, he...
When is imaging needed to assess the response to treatment in cardiac amyloidosis.
Current opinion in cardiology
Sep 1, 2025
PURPOSE OF REVIEW: Cardiac amyloidosis is characterized by systolic and diastolic abnormalities due to deposition of amyloid fibril within the myocardial extracellular space. Technological advances in multimodality cardiac imaging now helps in accura...
Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study.
European heart journal
Jul 21, 2025
BACKGROUND AND AIMS: Classification and risk stratification in aortic (AR), mitral (MR), and tricuspid regurgitation (TR) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) system to assess valvular ...
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