Publications

We conducted a pragmatic study to evaluate the effectiveness of an artificial intelligence (AI) algorithm-guided targeted screening approach for identifying previously unrecognized atrial fibrillation. For this non-randomised interventional trial, we prospectively recruited patients with stroke risk… Read More

Published in The Lancet

September 27, 2022

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 study was conducted within the Mayo Clinic's t… Read More

Published in Mayo Clinic Proceedings

September 16, 2022

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 in its infancy, an ever-growing clinical research strategy will ascertain t… Read More

Published in Current Cardiology Reports

September 1, 2022

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 has shown great potential as a biomarker for cardiovascular age… Read More

Published in Pre-Print

August 29, 2022

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 MwoA. The Mayo Clinic Cardiology team developed an AI-ECG algorithm that calculates the probability of co… Read More

Published in Headache

June 8, 2022