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.
February
28
2018
February 28, 2018
Journal of the Americal College of Cardiology (JACC) / ACC.18
Application Of Artificial Intelligence To The Standard 12 Lead Ecg To Identify People With Left Ventricular Dysfunction
Asymptomatic left ventricular dysfunction (ALVD) is present in 2-9% of the population, is associated with reduced longevity and is treatable when found. Inexpensive, reliable, in office screening is not available.…
August
31
2017
August 31, 2017
Journal of Electrocardiology
Noninvasive blood potassium measurement using signal-processed, single-lead ecg acquired from a handheld smartphone
We have previously used a 12-lead, signal-processed ECG to calculate blood potassium levels. We now assess the feasibility of doing so with a smartphone-enabled single lead, to permit remote monitoring.…
January
24
2016
January 24, 2016
Journal of the American Heart Association
Novel Bloodless Potassium Determination Using a Signal-Processed Single-Lead ECG
Hyper- and hypokalemia are clinically silent, common in patients with renal or cardiac disease, and are life threatening. A noninvasive, unobtrusive, blood-free method for tracking potassium would be an important…