Cargando…

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series

Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management. We sought to review the clinical experience with...

Descripción completa

Detalles Bibliográficos
Autores principales:	Attia, Zachi I., Kapa, Suraj, Noseworthy, Peter A., Lopez-Jimenez, Francisco, Friedman, Paul A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Mayo Foundation for Medical Education and Research 2020
Materias:	Brief Report
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501873/ https://www.ncbi.nlm.nih.gov/pubmed/33153634 http://dx.doi.org/10.1016/j.mayocp.2020.09.020

Ejemplares similares

Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction
por: Harmon, David M, et al.
Publicado: (2022)

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
por: Attia, Zachi I., et al.
Publicado: (2019)

Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
por: Toya, Takumi, et al.
Publicado: (2021)

Artificial intelligence—electrocardiography to detect atrial fibrillation: trend of probability before and after the first episode
por: Christopoulos, Georgios, et al.
Publicado: (2022)

An artificial intelligence–enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the ‘Turing test’?
por: Kashou, Anthony H., et al.
Publicado: (2021)

Electrocardiogram-Artificial Intelligence and Immune-Mediated Necrotizing Myopathy: Predicting Left Ventricular Dysfunction and Clinical Outcomes
por: Klein, Christopher J., et al.
Publicado: (2022)

AI ENHANCED ECG ENABLED RAPID NON-INVASIVE EXCLUSION OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 (SARS-COV-2) INFECTION
por: Attia, Zachi Itzhak, et al.
Publicado: (2021)

Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
por: Siontis, Konstantinos C., et al.
Publicado: (2021)

Pragmatic considerations for fostering reproducible research in artificial intelligence
por: Carter, Rickey E., et al.
Publicado: (2019)

Artificial intelligence–derived cardiac ageing is associated with cardiac events post-heart transplantation
por: Ozcan, Ilke, et al.
Publicado: (2022)

External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
por: Attia, Itzhak Zachi, et al.
Publicado: (2021)

A comprehensive artificial intelligence–enabled electrocardiogram interpretation program
por: Kashou, Anthony H., et al.
Publicado: (2020)

Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review
por: Bjerkén, Laura Vindeløv, et al.
Publicado: (2022)

Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort
por: Brito, Bruno Oliveira de Figueiredo, et al.
Publicado: (2021)

Correlation between artificial intelligence-enabled electrocardiogram and echocardiographic features in aortic stenosis
por: Ito, Saki, et al.
Publicado: (2023)

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study
por: Attia, Zachi I., et al.
Publicado: (2018)

Digital health innovation in cardiology
por: Ladejobi, Adetola O., et al.
Publicado: (2020)

Recurrent cryptogenic stroke: A potential role for an artificial intelligence–enabled electrocardiogram?
por: Kashou, Anthony H., et al.
Publicado: (2020)

Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope( )
por: Attia, Zachi I, et al.
Publicado: (2022)

The 12-lead electrocardiogram as a biomarker of biological age
por: Ladejobi, Adetola O, et al.
Publicado: (2021)

Spectrum bias in algorithms derived by artificial intelligence: a case study in detecting aortic stenosis using electrocardiograms
por: Tseng, Andrew S, et al.
Publicado: (2021)

Clinical trial design data for electrocardiogram artificial intelligence-guided screening for low ejection fraction (EAGLE)
por: Yao, Xiaoxi, et al.
Publicado: (2019)

Diagnosis and treatment of new heart failure with reduced ejection fraction by the artificial intelligence–enhanced electrocardiogram
por: Harmon, David M., et al.
Publicado: (2021)

QRS complex maximum deflection index in aortic cusp premature ventricular complexes
por: Siontis, Konstantinos C., et al.
Publicado: (2015)

ECG as a first step in the detection of left ventricular systolic dysfunction in the elderly
por: Olesen, Line Lisbeth, et al.
Publicado: (2015)

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
por: Attia, Zachi I., et al.
Publicado: (2021)

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction
por: Huang, Yu-Chang, et al.
Publicado: (2023)

An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm
por: Chang, Sheng-Nan, et al.
Publicado: (2022)

The Role of ECG in the Diagnosis of Left Ventricular Hypertrophy
por: Bacharova, Ljuba, et al.
Publicado: (2014)

Community-based participatory research application of an artificial intelligence-enhanced electrocardiogram for cardiovascular disease screening: A FAITH! Trial ancillary study
por: Harmon, David M., et al.
Publicado: (2022)

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG
por: Li, Hongqiang, et al.
Publicado: (2021)

Optimizing ECG to detect echocardiographic left ventricular hypertrophy with computer-based ECG data and machine learning
por: De la Garza Salazar, Fernando, et al.
Publicado: (2021)

Left Ventricular Diastolic Dysfunction Screening by a Smartphone-Case Based on Single Lead ECG
por: Kuznetsova, Natalia, et al.
Publicado: (2022)

Explainable artificial intelligence for heart rate variability in ECG signal
por: K., Sanjana, et al.
Publicado: (2020)

Detecting cardiomyopathies in pregnancy and the postpartum period using ECG
por: Adedinsewo, D, et al.
Publicado: (2021)

Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis
por: Chen, Hung-Yi, et al.
Publicado: (2022)

Improvements in ECG accuracy for diagnosis of left ventricular hypertrophy in obesity
por: Rider, Oliver J, et al.
Publicado: (2016)

Left ventricular septal pacing – can we trust the ECG?
por: Curila, Karol, et al.
Publicado: (2023)

Artificial Intelligence-Enabled ECG Algorithm for the Prediction of Coronary Artery Calcification
por: Han, Changho, et al.
Publicado: (2022)

Accuracy of advanced versus strictly conventional 12-lead ECG for detection and screening of coronary artery disease, left ventricular hypertrophy and left ventricular systolic dysfunction
por: Schlegel, Todd T, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_r94oshs7j004mldr4rmrp533f8