Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …
intense exploration, showing potential to automate human tasks and even perform tasks …
Machine learning in arrhythmia and electrophysiology
Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …
Artificial intelligence-enabled ECG algorithm to identify patients with left ventricular systolic dysfunction presenting to the emergency department with dyspnea
Background: Identification of systolic heart failure among patients presenting to the
emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea …
emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea …
Artificial intelligence in the diagnosis and management of arrhythmias
VD Nagarajan, SL Lee, JL Robertus… - European heart …, 2021 - academic.oup.com
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI)
methodologies for decades. Recent renewed interest in deep learning techniques has …
methodologies for decades. Recent renewed interest in deep learning techniques has …
EHRA consensus on prevention and management of interference due to medical procedures in patients with cardiac implantable electronic devices: For the European …
Interference is defined as disturbance generated by an external source that potentially
affects the functioning of cardiac implantable electronic devices (CIEDs)—ie cardiac …
affects the functioning of cardiac implantable electronic devices (CIEDs)—ie cardiac …
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …
apply artificial intelligence and other advanced analytical tools to transform health care …
[HTML][HTML] Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography
Echocardiography is the commonest medical ultrasound examination, but automated
interpretation is challenging and hinges on correct recognition of the 'view'(imaging plane …
interpretation is challenging and hinges on correct recognition of the 'view'(imaging plane …
Chest x-ray foreign objects detection using artificial intelligence
J Kufel, K Bargieł-Łączek, M Koźlik, Ł Czogalik… - Journal of Clinical …, 2023 - mdpi.com
Diagnostic imaging has become an integral part of the healthcare system. In recent years,
scientists around the world have been working on artificial intelligence-based tools that help …
scientists around the world have been working on artificial intelligence-based tools that help …
Open access data and deep learning for cardiac device identification on standard DICOM and smartphone-based chest radiographs
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
Novel artificial intelligence applications in cardiology: current landscape, limitations, and the road to real-world applications
ÉL Langlais, P Thériault-Lauzier… - Journal of …, 2023 - Springer
Cardiovascular diseases are the leading cause of death globally and contribute significantly
to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using …
to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using …