Published Scientific Evidence
Anumana’s ECG-AI™ technology is supported by one of the most extensive evidence bases in cardiovascular AI. This library provides direct access to our peer-reviewed validation studies and broader body of clinical research.
March
21
2021
March 21, 2021
European Heart Journal
Electrocardiogram screening for aortic valve stenosis using artificial intelligence
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 in moderate AS.…
March
10
2021
March 10, 2021
Poster Abstract @ International Stroke Conference 2021
Artificial Intelligence Enabled-Electrocardiography for the Detection of Cerebral Infarcts in Patients With Atrial Fibrillation
BackgroundAtrial fibrillation (AF) is an established risk factor for ischemic stroke but can be paroxysmal and go undiagnosed. An artificial intelligence (AI)-enabled ECG acquired during normal sinus rhythm was recently…
February
01
2021
February 01, 2021
Nature Medicine
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 medicine. Although the…
February
01
2021
February 01, 2021
Nature Medicine
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 medicine. Although the…
January
31
2021
January 31, 2021
Journal of the Americal College of Cardiology (JACC) / ACC.21
Detection Of Hypertrophic Cardiomyopathy By Artificial Intelligence-Enabled Electrocardiography In Children And Adolescents
Hypertrophic cardiomyopathy (HCM) is a cause of morbidity and sudden cardiac death in children and adolescents. There is currently no established screening approach for HCM. We recently developed an artificial…
January
02
2021
January 02, 2021
International Journal of Cardiology
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
ObjectiveTo validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population.BackgroundLVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived…
November
25
2020
November 25, 2020
European Heart Journal
The association of artificial intelligence-enabled electrocardiogram-derived age (physiologic age) with atherosclerotic cardiovascular events in the community
This study demonstrates that artificial intelligence interpretation of ECGs (AI-ECG) can estimate an individual's physiologic age and that the gap between AI-ECG and chronologic age (Age-Gap) is associated with increased…
November
12
2020
November 12, 2020
Circulation: Arrhythmia and Electrophysiology
Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation
Background:An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI–enabled…
November
01
2020
November 01, 2020
International Journal of Cardiology
Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients
An artificial intelligence-augmented electrocardiogram (AI-ECG) can identify left ventricular systolic dysfunction (LVSD). We examined the accuracy of AI ECG for identification of LVSD (defined as LVEF ≤40% by transthoracic echocardiogram…
October
31
2020
October 31, 2020
Mayo Clinic Proceedings
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series
COVID-19 can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide…