Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
Authors
Keywords
-
Journal
NATURE MEDICINE
Volume 28, Issue 12, Pages 2497-2503
Publisher
Springer Science and Business Media LLC
Online
2022-11-15
DOI
10.1038/s41591-022-02053-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Development of the AI-Cirrhosis-ECG (ACE) Score: An electrocardiogram-based deep learning model in cirrhosis
- (2022) Joseph C. Ahn et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunities
- (2022) David M Harmon et al. CARDIOVASCULAR RESEARCH
- External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
- (2021) Itzhak Zachi Attia et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
- (2021) Konstantinos C. Siontis et al. Nature Reviews Cardiology
- Electrocardiogram screening for aortic valve stenosis using artificial intelligence
- (2021) Michal Cohen-Shelly et al. EUROPEAN HEART JOURNAL
- Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
- (2021) Xiaoxi Yao et al. NATURE MEDICINE
- 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure
- (2021) Theresa A McDonagh et al. EUROPEAN HEART JOURNAL
- Application of artificial intelligence to the electrocardiogram
- (2021) Zachi I Attia et al. EUROPEAN HEART JOURNAL
- Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction
- (2021) Andrew S. Tseng et al. MAYO CLINIC PROCEEDINGS
- Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis
- (2021) Martha Grogan et al. MAYO CLINIC PROCEEDINGS
- Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis
- (2020) Peter A. Noseworthy et al. Circulation-Arrhythmia and Electrophysiology
- Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram
- (2020) Wei-Yin Ko et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography
- (2020) Joon‐Myoung Kwon et al. Journal of the American Heart Association
- An Artificial Intelligence-Enabled ECG Algorithm to Identify Patients with Left Ventricular Systolic Dysfunction Presenting to the Emergency Department with Dyspnea
- (2020) Demilade Adedinsewo et al. Circulation-Arrhythmia and Electrophysiology
- Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction
- (2019) Zachi I. Attia et al. JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY
- Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram
- (2019) Conner D. Galloway et al. JAMA Cardiology
- Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
- (2019) Zachi I. Attia et al. Circulation-Arrhythmia and Electrophysiology
- Mobile Health Technology for Atrial Fibrillation Screening Using Photoplethysmography-Based Smart Devices: The HUAWEI Heart study
- (2019) Yutao Guo et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- 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
- Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
- (2019) Marco V. Perez et al. NEW ENGLAND JOURNAL OF MEDICINE
- Heart Disease and Stroke Statistics—2018 Update: A Report From the American Heart Association
- (2018) Emelia J. Benjamin et al. CIRCULATION
- Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
- (2018) Zachi I. Attia et al. NATURE MEDICINE
- Prediction models need appropriate internal, internal–external, and external validation
- (2016) Ewout W. Steyerberg et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Assessing the Risk of Progression From Asymptomatic Left Ventricular Dysfunction to Overt Heart Failure
- (2016) Justin B. Echouffo-Tcheugui et al. JACC-Heart Failure
- Forecasting the Impact of Heart Failure in the United States
- (2013) Paul A. Heidenreich et al. Circulation-Heart Failure
- Epidemiology and risk profile of heart failure
- (2010) Anh L. Bui et al. Nature Reviews Cardiology
- Differences in the Incidence of Congestive Heart Failure by Ethnicity
- (2008) Hossein Bahrami et al. ARCHIVES OF INTERNAL MEDICINE
- The Accuracy of the Papanicolaou Smear in the Screening and Diagnostic Settings
- (2008) Marylou Cárdenas-Turanzas et al. Journal of Lower Genital Tract Disease
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now