AIMC Topic: Anti-Arrhythmia Agents

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Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation.

Journal of medical Internet research Feb 19, 2025
BACKGROUND: Amiodarone treatment requires repeated laboratory evaluations of thyroid and liver function due to potential side effects. Robotic process automation uses software robots to automate repetitive and routine tasks, and their use may be exte...
Humans Automation Amiodarone Decision Support Systems, Clinical Robotics Drug Monitoring Anti-Arrhythmia Agents Algorithms Female Male
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Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial.

Nature medicine Feb 14, 2025
Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fibrillation (AF), the optimal ablation procedure for persistent and long-standing persistent AF remains elusive. Targeting spatio-temporal electrogram d...
Anti-Arrhythmia Agents Atrial Fibrillation Catheter Ablation Pulmonary Veins Male Humans Middle Aged Artificial Intelligence Algorithms Treatment Outcome Precision Medicine Double-Blind Method Female Aged
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A python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors.

Scientific reports Jan 11, 2025
In recent years, machine learning has gained substantial attention for its ability to predict complex chemical and biological properties, including those of pharmaceutical compounds. This study proposes a machine learning-based quantitative structure...
Machine Learning Anti-Arrhythmia Agents Quantitative Structure-Activity Relationship Humans
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Erroneous electrocardiographic interpretations and its clinical implications.

Journal of cardiovascular electrophysiology Jun 5, 2023
INTRODUCTION: The advancement of artificial intelligence (AI) has aided clinicians in the interpretation of electrocardiograms (ECGs) serving as an essential tool to provide rapid triage and care. However, in some cases, AI can misinterpret an ECG an...
Retrospective Studies Male Electrocardiography Anticoagulants Humans Artificial Intelligence Anti-Arrhythmia Agents Atrial Fibrillation Heart Block
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Applications of machine learning in decision analysis for dose management for dofetilide.

PloS one Dec 31, 2019
BACKGROUND: Initiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days of telemetry monitoring due to heightened risk of toxicity within this time period. Although a recommended dose management algorithm for dofetilide exi...
Phenethylamines Decision Support Techniques Female Humans Aged Machine Learning Male Middle Aged Dose-Response Relationship, Drug Sulfonamides Anti-Arrhythmia Agents
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Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach.

Journal of healthcare engineering Aug 19, 2018
Digoxin is a high-alert medication because of its narrow therapeutic range and high drug-to-drug interactions (DDIs). Approximately 50% of digoxin toxicity cases are preventable, which motivated us to improve the treatment outcomes of digoxin. The ob...
Middle Aged Decision Support Systems, Clinical Digoxin Aged, 80 and over Machine Learning Humans Anti-Arrhythmia Agents Young Adult Drug-Related Side Effects and Adverse Reactions Female Adult Aged Male
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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Humans Electrophysiology Artificial Intelligence Terfenadine Software Clinical Trials as Topic Anti-Arrhythmia Agents Cell Membrane Models, Statistical Calcium Risk Algorithms Sodium Regression Analysis Arrhythmias, Cardiac Reproducibility of Results Programming Languages Heart Ions Electrocardiography Myocytes, Cardiac Potassium Action Potentials Observer Variation
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Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

American heart journal Dec 30, 2017
BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than individuals with normal renal function, and more likely to suffer ischemic stroke (IS)/thromboembolism (TE). We investigated the relationship of kidney ...
Treatment Outcome Glomerular Filtration Rate Retrospective Studies Follow-Up Studies Humans Female Fibrinolytic Agents Male Aged Confidence Intervals Comorbidity Middle Aged Anti-Arrhythmia Agents Aged, 80 and over Severity of Illness Index Risk Assessment Renal Insufficiency Atrial Fibrillation Cohort Studies Proportional Hazards Models Disease Progression Survival Analysis Drug Therapy, Combination
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Traditional Chinese Medicine for Anti-Arrhythmias: Mechanisms via Potassium Channels.

Basic & clinical pharmacology & toxicology Jul 1, 2025
Cardiac arrhythmia is a common life-threatening cardiovascular disorder. Potassium channels play a crucial role in cardiac electrophysiology, and their dysfunction is closely associated with the occurrence and development of arrhythmia. Traditional C...
Drugs, Chinese Herbal Anti-Arrhythmia Agents Arrhythmias, Cardiac Humans Potassium Channels Animals Signal Transduction Medicine, Chinese Traditional
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QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
QT prolongation often leads to fatal arrhythmia and sudden cardiac death. Antiarrhythmic drugs can increase the risk of QT prolongation and therefore require strict post-administration monitoring and dosage control. Measurement of the QT interval fro...
Electrocardiography, Ambulatory Humans Anti-Arrhythmia Agents Deep Learning Long QT Syndrome Electrocardiography
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