AIMC Topic: Echocardiography

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Automated mutual exclusion rules discovery for structured observational codes in echocardiography reporting.

AMIA ... Annual Symposium proceedings. AMIA Symposium
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...

Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling.

IEEE transactions on medical imaging
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
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-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study.

European heart journal
BACKGROUND AND AIMS: Valvular heart disease (VHD) is a significant source of morbidity and mortality, though early intervention can improve outcomes. This study aims to develop artificial intelligence-enhanced electrocardiography (AI-ECG) models to d...

Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool.

European heart journal
BACKGROUND AND AIMS: Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for...

Artificial intelligence in cardiac sarcoidosis: ECG, Echo, CPET and MRI.

Current opinion in pulmonary medicine
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
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
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 ...

A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Automated data extraction from echocardiography reports could facilitate large-scale registry creation and clinical surveillance of valvular heart diseases (VHD). We evaluated the performance of open-source large language models (LLMs) gu...