Artificial intelligence and heart failure: A state‐of‐the‐art review
Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …
Effect of age and gender on the QTc-interval in healthy individuals and patients with long-QT syndrome
AS Vink, SAB Clur, AAM Wilde, NA Blom - Trends in cardiovascular …, 2018 - Elsevier
Age-and gender-related differences in QTc-interval are most likely the result of changes in
sex-specific hormones. Although the exact mechanisms and pathophysiology of sex …
sex-specific hormones. Although the exact mechanisms and pathophysiology of sex …
Assessing and mitigating bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ECG analysis
PA Noseworthy, ZI Attia, LPC Brewer… - Circulation …, 2020 - Am Heart Assoc
Background: Deep learning algorithms derived in homogeneous populations may be poorly
generalizable and have the potential to reflect, perpetuate, and even exacerbate …
generalizable and have the potential to reflect, perpetuate, and even exacerbate …
Automatic triage of 12‐lead ECGs using deep convolutional neural networks
RR van de Leur, LJ Blom, E Gavves, IE Hof… - Journal of the …, 2020 - Am Heart Assoc
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of
many cardiac abnormalities, and conventional computerized interpretation has not been …
many cardiac abnormalities, and conventional computerized interpretation has not been …
The influence of age and sex on the electrocardiogram
PW Macfarlane - Sex-Specific Analysis of Cardiovascular Function, 2018 - Springer
The electrocardiogram (ECG) remains the most commonly used test in medical practice and
as such requires to be interpreted with due care and attention to detail. The ECG changes …
as such requires to be interpreted with due care and attention to detail. The ECG changes …
Normal limits of the electrocardiogram derived from a large database of Brazilian primary care patients
DMF Palhares, MS Marcolino, TMM Santos… - BMC cardiovascular …, 2017 - Springer
Background Knowledge of the normal limits of the electrocardiogram (ECG) is mandatory for
establishing which patients have abnormal ECGs. No studies have assessed the reference …
establishing which patients have abnormal ECGs. No studies have assessed the reference …
[HTML][HTML] Big data and artificial intelligence: opportunities and threats in electrophysiology
The combination of big data and artificial intelligence (AI) is having an increasing impact on
the field of electrophysiology. Algorithms are created to improve the automated diagnosis of …
the field of electrophysiology. Algorithms are created to improve the automated diagnosis of …
Population‐based values and abnormalities of the electrocardiogram in the general Dutch population: the lifelines cohort study
MY van der Ende, JE Siland, H Snieder… - Clinical …, 2017 - Wiley Online Library
Background Our aim is to present average values and prevalence of electrocardiographic
(ECG) abnormalities among the general Dutch population in the LifeLines Cohort …
(ECG) abnormalities among the general Dutch population in the LifeLines Cohort …
Automated ecg interpretation—a brief history from high expectations to deepest networks
PW Macfarlane, J Kennedy - Hearts, 2021 - mdpi.com
This article traces the development of automated electrocardiography from its beginnings in
Washington, DC around 1960 through to its current widespread application worldwide …
Washington, DC around 1960 through to its current widespread application worldwide …
CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiography
Left ventricular hypertrophy is a significant independent risk factor for all-cause mortality and
morbidity, and an accurate diagnosis at an early stage of heart change is clinically …
morbidity, and an accurate diagnosis at an early stage of heart change is clinically …