Published Scientific Evidence
Category: (Aortic Stenosis)
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.
May
16
2021
May 16, 2021
Journal of the American College of Cardiology
Understanding Spectrum Bias In Algorithms Derived By Artificial Intelligence A Case Study In Detecting Aortic Stenosis Using Electrocardiograms
BackgroundThere are an increasing number of diagnostic tests derived from artificial intelligence (AI) and machine learning algorithms. Spectrum bias can arise when a diagnostic test is derived from study populations…
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.…
February
29
2020
February 29, 2020
Poster @ American College of Cardiology (ACC) 2020
Detection Of Aortic Stenosis Using An Artificial Intelligence-Enabled Electrocardiogram
BackgroundPatients with moderate to severe aortic stenosis (AS) have increased mortality even when asymptomatic. We hypothesized, that artificial intelligence - (AI) enabled electrocardiogram (ECG) - an inexpensive, ubiquitous, 10 second…