Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …
Application of artificial intelligence to the electrocardiogram
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them
super-human diagnostic abilities. Trained without hard-coded rules by finding often …
super-human diagnostic abilities. Trained without hard-coded rules by finding often …
Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
Although artificial intelligence (AI) algorithms have been shown to be capable of identifying
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …
Deep learning and the electrocardiogram: review of the current state-of-the-art
In the recent decade, deep learning, a subset of artificial intelligence and machine learning,
has been used to identify patterns in big healthcare datasets for disease phenotyping, event …
has been used to identify patterns in big healthcare datasets for disease phenotyping, event …
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Background The electrocardiogram (ECG) is one of the most commonly used diagnostic
tools in medicine and healthcare. Deep learning methods have achieved promising results …
tools in medicine and healthcare. Deep learning methods have achieved promising results …
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …
and research. The exponential rise in technology powered by AI is defining new frontiers in …
Deep learning for ECG analysis: Benchmarks and insights from PTB-XL
Electrocardiography (ECG) is a very common, non-invasive diagnostic procedure and its
interpretation is increasingly supported by algorithms. The progress in the field of automatic …
interpretation is increasingly supported by algorithms. The progress in the field of automatic …
Deep learning interpretation of echocardiograms
Echocardiography uses ultrasound technology to capture high temporal and spatial
resolution images of the heart and surrounding structures, and is the most common imaging …
resolution images of the heart and surrounding structures, and is the most common imaging …
Electrocardiogram screening for aortic valve stenosis using artificial intelligence
M Cohen-Shelly, ZI Attia, PA Friedman… - European heart …, 2021 - academic.oup.com
Aims Early detection of aortic stenosis (AS) is becoming increasingly important with a better
outcome after aortic valve replacement in asymptomatic severe AS patients and a poor …
outcome after aortic valve replacement in asymptomatic severe AS patients and a poor …
[HTML][HTML] How useful is the smartwatch ECG?
N Isakadze, SS Martin - Trends in cardiovascular medicine, 2020 - Elsevier
Apple launched a novel feature of the Apple Watch (Apple Inc.) series 4 that enables
consumers to record a rhythm strip and assist with self-diagnosis of atrial fibrillation (AF) …
consumers to record a rhythm strip and assist with self-diagnosis of atrial fibrillation (AF) …