Automated multilabel diagnosis on electrocardiographic images and signals

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead Electrocardiogram and Help Identify Those at Risk of AF-Related Stroke

(2021) Sushravya Raghunath et al.   CIRCULATION

Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation

(2021) J. Weston Hughes et al.   JAMA Cardiology

Automatic diagnosis of the 12-lead ECG using a deep neural network

(2020) Antônio H. Ribeiro et al.   Nature Communications

Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction

(2020) Hisaki Makimoto et al.   Scientific Reports

PTB-XL, a large publicly available electrocardiography dataset

(2020) Patrick Wagner et al.   Scientific Data

Recommendations for Reporting Machine Learning Analyses in Clinical Research

(2020) Laura M. Stevens et al.   Circulation-Cardiovascular Quality and Outcomes

Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiograms

(2020) Vadim Gliner et al.   Scientific Reports

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs

(2019) Zachi I. Attia et al.   Circulation-Arrhythmia and Electrophysiology

Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study

(2019) Antonio Luiz P. Ribeiro et al.   JOURNAL OF ELECTROCARDIOLOGY

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

(2019) Zachi I Attia et al.   LANCET

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Rare Events in the ICU

(2018) Daniel E. Leisman   CRITICAL CARE MEDICINE

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

The precision–recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases

(2015) Brice Ozenne et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY