AIMC Topic: Electrophysiologic Techniques, Cardiac
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The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology.
Heart rhythm
Jun 1, 2024
The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries that have enabled clinicians to deliver therapies and interventions that save lives and promote quality of life. The rapid pace of innovation in EP ma...
Validation of a machine learning algorithm to identify pulmonary vein isolation during ablation procedures for the treatment of atrial fibrillation: results of the PVISION study.
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
May 2, 2024
AIMS: Pulmonary vein isolation (PVI) is the cornerstone of ablation for atrial fibrillation. Confirmation of PVI can be challenging due to the presence of far-field electrograms (EGMs) and sometimes requires additional pacing manoeuvres or mapping. T...
Humans
Machine Learning
Algorithms
Prospective Studies
Female
Reproducibility of Results
Aged
Male
Middle Aged
Treatment Outcome
Action Potentials
Predictive Value of Tests
Signal Processing, Computer-Assisted
Atrial Fibrillation
Heart Rate
Catheter Ablation
Pulmonary Veins
Electrophysiologic Techniques, Cardiac
Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Feb 16, 2023
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target either employ invasive electrophysiological (EP) mapping or non-invasive modalities utilizing the electrocardiogram (ECG). Their success relies on local...
Artificial Intelligence and Machine Learning in Cardiac Electrophysiology.
Texas Heart Institute journal
Mar 1, 2022
Cardiac electrophysiology requires the processing of several patient-specific data points in real time to provide an accurate diagnosis and determine an optimal therapy. Expanding beyond the traditional tools that have been used to extract informatio...
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