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.
October
31
2020
October 31, 2020
American Journal of Respiratory and Critical Care Medicine / American Thoracic Society (ATS) 2021 International Conference
An Automated Screening Algorithm Using Electrocardiograms for Pulmonary Hypertension
Pulmonary hypertension (PH) is a life-threatening disease that is typically detected after significantpulmonary vascular remodeling has occurred. Longer diagnostic delays are associated with higher mortality andthere is a need for…
October
31
2020
October 31, 2020
American Thoracic Society (ATS) 2021 International Conference
An Automated Screening Algorithm Using Electrocardiograms for Pulmonary Hypertension
Pulmonary hypertension (PH) is a life-threatening disease that is typically detected after significant pulmonary vascular remodeling has occurred. Longer diagnostic delays are associated with higher mortality and there is a…
October
16
2020
October 16, 2020
European Heart Journal - Acute Cardiovascular Care
Mortality risk stratification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients
An artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm can identify left ventricular systolic dysfunction (LVSD). We sought to determine whether this AI-ECG algorithm could stratify mortality risk in cardiac intensive care unit…
September
01
2020
September 01, 2020
Cardiovascular Digital Health Journal
A comprehensive artificial intelligence-enabled electrocardiogram interpretation program
Automated computerized electrocardiogram (ECG) interpretation algorithms are designed to enhance physician ECG interpretation, minimize medical error, and expedite clinical workflow. However, the performance of current computer algorithms is notoriously inconsistent.…
August
04
2020
August 04, 2020
Circulation: Arrhythmia and Electrophysiology
Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea
Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and…
May
31
2020
May 31, 2020
Circulation Research
How Will Machine Learning Inform the Clinical Care of Atrial Fibrillation?
Machine learning applications in cardiology have rapidly evolved in the past decade. With the availability of machine learning tools coupled with vast data sources, the management of atrial fibrillation (AF),…
March
24
2020
March 24, 2020
Poster @ American College of Cardiology (ACC) 2020
Machine Learning Algorithms to Predict 10-Year Atherosclerotic Cardiovascular Risk in a Contemporary, Community-Based Historical Cohort
Background:The ACC/AHA Pooled Cohort Equation (PCE) for Atherosclerotic cardiovascular disease (ASCVD) has shown modest accuracy. We assessed if machine learning algorithms (MLA) could improve PCE performance with traditional and selected…
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…
February
29
2020
February 29, 2020
Poster @ American College of Cardiology (ACC) 2020
Trastuzumab Cartiotoxicity Surveillance by Artificial Intelligence-Augmented Electrocardiography in a Multi Site Study
BackgroundTrastuzumab carries a black box warning for cardiotoxicity, and HER-2 positive breast cancer patients who are treated with trastuzumab are recommended to have an echocardiogram (TTE) every three month while…
February
25
2020
February 25, 2020
Journal of the Americal College of Cardiology (JACC)
Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram
Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of sudden cardiac death. This study sought to develop an artificial intelligence approach for the detection of HCM based on 12-lead…