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
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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
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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
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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…