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 …
2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery …
G Hindricks, T Potpara, N Dagres, E Arbelo… - European heart …, 2021 - academic.oup.com
MicroRNAs (miRNAs) are small regulatory molecules post-transcriptionally suppressing
mRNA activity. Many miRNAs in various organisms have been cloned but many unknown …
mRNA activity. Many miRNAs in various organisms have been cloned but many unknown …
[HTML][HTML] Smart wearable devices in cardiovascular care: where we are and how to move forward
K Bayoumy, M Gaber, A Elshafeey… - Nature Reviews …, 2021 - nature.com
Technological innovations reach deeply into our daily lives and an emerging trend supports
the use of commercial smart wearable devices to manage health. In the era of remote …
the use of commercial smart wearable devices to manage health. In the era of remote …
How machine learning will transform biomedicine
This Perspective explores the application of machine learning toward improved diagnosis
and treatment. We outline a vision for how machine learning can transform three broad …
and treatment. We outline a vision for how machine learning can transform three broad …
2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of …
CT January, LS Wann, H Calkins, LY Chen… - Circulation, 2019 - Am Heart Assoc
The purpose of this document is to update the “2014 AHA/ACC/HRS Guideline for the
Management of Patients With Atrial Fibrillation” S1. 3-1 (2014 AF Guideline) in areas for …
Management of Patients With Atrial Fibrillation” S1. 3-1 (2014 AF Guideline) in areas for …
Wearable devices for physical monitoring of heart: a review
G Prieto-Avalos, NA Cruz-Ramos, G Alor-Hernandez… - Biosensors, 2022 - mdpi.com
Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective
strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables …
strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables …
Mobile photoplethysmographic technology to detect atrial fibrillation
Y Guo, H Wang, H Zhang, T Liu, Z Liang, Y Xia… - Journal of the American …, 2019 - jacc.org
Background: Low detection and nonadherence are major problems in current management
approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may …
approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may …
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management
Ambulatory monitoring is increasingly important for cardiovascular care but is often limited
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …
Deep learning for cardiovascular medicine: a practical primer
C Krittanawong, KW Johnson… - European heart …, 2019 - academic.oup.com
Deep learning (DL) is a branch of machine learning (ML) showing increasing promise in
medicine, to assist in data classification, novel disease phenotyping and complex decision …
medicine, to assist in data classification, novel disease phenotyping and complex decision …
[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) …