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.
January
04
2022
January 04, 2022
The Lancet Digital Health
Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study
Most patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are diagnosed in hospital. This is despite previous presentations…
December
28
2021
December 28, 2021
The American Journal of Gastroenterology
Development of the AI-Cirrhosis-ECG (ACE) Score: An electrocardiogram-based deep learning model in cirrhosis
Cirrhosis is associated with cardiac dysfunction and distinct ECG abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-related signals on ECG…
December
06
2021
December 06, 2021
PLOS
Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort
Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively common and its treatment using low-cost drugs can improve symptoms and reduce mortality. Recently, an artificial intelligence (AI)-enabled ECG…
August
31
2021
August 31, 2021
American Heart Journal
Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial
BackgroundMost patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are diagnosed in hospital. This is despite previous presentations…
August
01
2021
August 01, 2021
Mayo Clinic Proceedings
Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
ObjectiveTo rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG).MethodsA global, volunteer consortium from 4 continents identified patients with ECGs obtained…
July
24
2021
July 24, 2021
The American Journal of Cardiology
Artificial Intelligence-Enabled Electrocardiography to Screen Patients with Dilated Cardiomyopathy
Undiagnosed dilated cardiomyopathy (DC) can be asymptomatic or present as sudden cardiac death, therefore pre-emptively identifying and treating patients may be beneficial. Screening for DC with echocardiography is expensive and…
July
02
2021
July 02, 2021
Mayo Clinic Proceedings
Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis
The objective of this study was to develop an artificial intelligence (AI)–based tool to detect cardiac amyloidosis (CA) from a standard 12-lead electrocardiogram (ECG). 12-lead ECG data from 2541 patients…
June
18
2021
June 18, 2021
European Heart Journal
Application of artificial intelligence to the electrocardiogram
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the…
June
09
2021
June 09, 2021
Mayo Clinic Proceedings
Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population
The goal of this study was to validate an AI-enabled ECG algorithm for the detection of preclinical left ventricular systolic dysfunction (LVSD) in a large community-based cohort. We found that…
June
08
2021
June 08, 2021
Mayo Clinic Proceedings
Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction
We used decision analytic modeling to perform a cost-effectiveness analysis of the use of AI-ECG to screen for asymptomatic left ventricular dysfunction (ALVD) once at age 65 compared with no…