Cargando…

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

BACKGROUND: Dofetilide is an effective antiarrhythmic medication for rhythm control in atrial fibrillation, but carries a significant risk of pro-arrhythmia and requires meticulous dosing and monitoring. The cornerstone of this monitoring, measurement of the QT/QTc interval, is an imperfect surrogat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Attia, Zachi I., Sugrue, Alan, Asirvatham, Samuel J., Ackerman, Michael J., Kapa, Suraj, Friedman, Paul A., Noseworthy, Peter A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104915/ https://www.ncbi.nlm.nih.gov/pubmed/30133452 http://dx.doi.org/10.1371/journal.pone.0201059

Ejemplares similares

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)

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

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

Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series
por: Attia, Zachi I., et al.
Publicado: (2020)

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)

Deep neural networks learn by using human-selected electrocardiogram features and novel features
por: Attia, Zachi I, et al.
Publicado: (2021)

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

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

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

Applications of machine learning in decision analysis for dose management for dofetilide
por: Levy, Andrew E., et al.
Publicado: (2019)

Dofetilide induced trigeminal neuralgia
por: Maluli, Hayan Al
Publicado: (2015)

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

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

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

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

Evaluation of the Impact of an Institution-Specific Dofetilide Initiation Protocol on Mean Hospital Length of Stay and Cost for Dofetilide Initiation
por: Kennedy, Steven P., et al.
Publicado: (2018)

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)

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

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)

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

MATE1 Deficiency Exacerbates Dofetilide-Induced Proarrhythmia
por: Uddin, Muhammad Erfan, et al.
Publicado: (2022)

Synergistic Effect of Dofetilide and Mexiletine on Prevention of Atrial Fibrillation
por: Liu, Guizhi, et al.
Publicado: (2017)

Refractory Torsades de Pointes Due to Dofetilide Overdose
por: Crosby, James, et al.
Publicado: (2021)

Efficacy and safety of dofetilide and sotalol in patients with hypertrophic cardiomyopathy
por: Chen, Chris, et al.
Publicado: (2023)

Asteroids® and Electrocardiograms: Proof of Concept of a Simulation for Task-Switching Training
por: Aziz, Farhad, et al.
Publicado: (2019)

Over, Under, or Just Right? How do we interpret ICD utilization in the modern era?
por: Gaba, Prakriti, et al.
Publicado: (2016)

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

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

Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning model
por: Adedinsewo, Demilade A, et al.
Publicado: (2021)

Intramural conduction system gradients and electrogram regularity during ventricular fibrillation
por: Tri, Jason, et al.
Publicado: (2018)

Repetitive nonreentrant ventriculoatrial synchrony inducing atrial fibrillation in setting of dofetilide
por: Garber, Leonid, et al.
Publicado: (2022)

Noninvasive Combined Diagnosis and Monitoring of Aspergillus and Pseudomonas Infections: Proof of Concept
por: Dobiáš, Radim, 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)

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)

Electrocardiogram: his bundle potentials can be recorded noninvasively beat by beat on surface electrocardiogram
por: Wang, Gaopin, et al.
Publicado: (2017)

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

Comprehensive T wave Morphology Assessment in a Randomized Clinical Study of Dofetilide, Quinidine, Ranolazine, and Verapamil
por: Vicente, Jose, et al.
Publicado: (2015)

Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice
por: Maanja, Maren, et al.
Publicado: (2022)

Left atrial dissection as a trigger for recurrent atrial fibrillation
por: Kashou, Anthony H., et al.
Publicado: (2020)

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers
por: van de Leur, Rutger R., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_omi7ctov9gtsm6p4qu66fautgb