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.
September
16
2022
September 16, 2022
Mayo Clinic Proceedings
Electrocardiogram-Artificial Intelligence and Immune-Mediated Necrotizing Myopathy: Predicting Left Ventricular Dysfunction and Clinical Outcomes
This study was conducted to characterize the utility of an existing electrocardiogram (ECG)-artificial intelligence (AI) algorithm of left ventricular dysfunction (LVD) in immune-mediated necrotizing myopathy (IMNM). A retrospective cohort observational…
September
01
2022
September 01, 2022
Current Cardiology Reports
Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?
Many studies have been undertaken in recent years on cardiomyopathy screening especially using AI-enhanced electrocardiography (ECG). While the implementation of AI in the diagnosis and treatment of cardiomyopathies is still…
August
29
2022
August 29, 2022
Nature
Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes
Artificial Intelligence (AI) based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models…
August
08
2022
August 08, 2022
Intelligence-Based Medicine
Digitizing paper based ECG files to foster deep learning based analysis of existing clinical datasets: An exploratory analysis
Recently, we developed and validated a deep learning model for detecting left ventricular dysfunction based on a standard 12-lead ECG. However, this model largely depends on the availability of digital…
June
08
2022
June 08, 2022
European Heart Journal
Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men
MwA is associated with an approximately twofold risk of ischemic stroke. Longitudinal cohort studies showed that patients with MwA have a higher incidence of developing AF compared to those with…
May
22
2022
May 22, 2022
European Heart Journal
Automated Detection of Low Ejection Fraction from a One-lead Electrocardiogram: Application of an AI algorithm to an ECG-enabled Digital Stethoscope
ECG-enabled stethoscopes (ECG-Scope) acquire single lead ECGs during cardiac auscultation, and may facilitate real-time screening for pathologies not routinely identified by cardiac auscultation alone. Since we previously demonstrated an artificial…
May
17
2022
May 17, 2022
European Heart Journal
Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction
We assessed the real-world performance of the artificial intelligence-enhanced electrocardiogram to detect left ventricular systolic dysfunction with respect to multiple patient and electrocardiogram variables to determine the algorithm’s long-term efficacy…
May
09
2022
May 09, 2022
European Heart Journal
Artificial intelligence-electrocardiography to detect atrial fibrillation: trend of probability before and after the first episode
Artificial intelligence (AI) enabled electrocardiography (ECG) can detect latent atrial fibrillation (AF) in patients with sinus rhythm (SR). However, the change of AI-ECG probability before and after the first AF…
April
30
2022
April 30, 2022
Mayo Clinic Proceedings
Artificial Intelligence-Enabled Electrocardiogram for Atrial Fibrillation Identifies Cognitive Decline Risk and Cerebral Infarcts
This study was designed to investigate whether artificial intelligence-enabled electrocardiograms (AI-ECG) assessment of Atrial Fibrillation (AF) risk predicts cognitive decline and cerebral infracts. Participants included patients who had a sinus-rhythm…
February
28
2022
February 28, 2022
Journal of the Americal College of Cardiology (JACC)
Assessment of Disease Status and Treatment Response With Artificial Intelligence−Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy
Although hypertrophic cardiomyopathy (HCM) causes significant morbidity and is a leading cause of sudden death in adolescents, initial detection remains difficult. Echocardiography is an important diagnostic modality for HCM, but…