Applications of artificial intelligence in cardiovascular imaging

M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

[HTML][HTML] Artificial intelligence for the echocardiographic assessment of valvular heart disease

R Nedadur, B Wang, W Tsang - Heart, 2022 - heart.bmj.com
Developments in artificial intelligence (AI) have led to an explosion of studies exploring its
application to cardiovascular medicine. Due to the need for training and expertise, one area …

MobileUNet-FPN: A semantic segmentation model for fetal ultrasound four-chamber segmentation in edge computing environments

B Pu, Y Lu, J Chen, S Li, N Zhu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The apical four-chamber (A4C) view in fetal echocardiography is a prenatal examination
widely used for the early diagnosis of congenital heart disease (CHD). Accurate …

Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography

L Guo, B Lei, W Chen, J Du, AF Frangi, J Qin… - Medical Image …, 2021 - Elsevier
Paediatric echocardiography is a standard method for screening congenital heart disease
(CHD). The segmentation of paediatric echocardiography is essential for subsequent …

Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review

VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …

Deep learning for transesophageal echocardiography view classification

KR Steffner, M Christensen, G Gill, M Bowdish… - Scientific Reports, 2024 - nature.com
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of
complex cardiac pathology and the management of cardiac surgery patients. A key limitation …

An automated view classification model for pediatric echocardiography using artificial intelligence

A Gearhart, S Goto, RC Deo, AJ Powell - Journal of the American Society of …, 2022 - Elsevier
Background View classification is a key step toward building a fully automated system for
interpretation of echocardiograms. However, compared with adult echocardiograms …

[HTML][HTML] Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings

AA Taskén, EAR Berg, B Grenne, E Holte… - Artificial Intelligence in …, 2023 - Elsevier
Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular
complications. The standard of care for cardiac monitoring performed by trained …

Contemporary applications of machine learning for device therapy in heart failure

N Gautam, SN Ghanta, A Clausen, P Saluja… - Heart Failure, 2022 - jacc.org
Despite a better understanding of the underlying pathogenesis of heart failure (HF),
pharmacotherapy, surgical, and percutaneous interventions do not prevent disease …

Overview and clinical applications of artificial intelligence and machine learning in cardiac anesthesiology

M Mathis, KR Steffner, H Subramanian, GP Gill… - … of Cardiothoracic and …, 2024 - Elsevier
Artificial intelligence-(AI) and machine learning (ML)-based applications are becoming
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …