Results 171 to 180 of about 1,405,239 (390)

Fetal cardiac remodeling in second trimester in pregnancies with pre‐eclampsia and/or fetal growth restriction: deep‐learning‐based approach using population‐wide data

open access: yesUltrasound in Obstetrics &Gynecology, EarlyView.
ABSTRACT Objective Pre‐eclampsia (PE) and fetal growth restriction (FGR) have been shown to impact fetal cardiac remodeling in the third trimester and postnatally, with evidence to suggest that this leads to increased long‐term cardiovascular risk. This study aimed to examine fetal cardiac remodeling in pregnancies with PE and/or FGR during the second ...
C. A. Taksøe‐Vester   +9 more
wiley   +1 more source

Three-dimensional echocardiography for the evaluation of hypertrophic cardiomyopathy patients: relation to symptoms and exercise capacity. [PDF]

open access: yesInt J Cardiovasc Imaging, 2023
Cardoso I   +10 more
europepmc   +1 more source

Anti‐desmoglein‐2 autoantibodies do not discriminate between UK boxer dogs with and without arrhythmogenic right ventricular cardiomyopathy

open access: yesVeterinary Record, EarlyView.
Abstract Background Evidence regarding the diagnostic utility of serum anti‐desmoglein‐2 (DSG2) autoantibodies for arrhythmogenic right ventricular cardiomyopathy (ARVC) in boxer dogs is conflicting. Methods Prospective standardised evaluation of apparently healthy boxer dogs for ARVC was performed at three referral centres, including blood pressure ...
Chia‐Hsuan Chang   +8 more
wiley   +1 more source

Right ventricular contraction patterns in healthy children using three-dimensional echocardiography. [PDF]

open access: yesFront Cardiovasc Med, 2023
Valle C   +13 more
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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