| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
ID: 4121951 Adoption Of Remote Monitoring-Supporting Technologies And Their Association With In-Person Visit Frequency
|
Allred, J.
|
|
|
21 |
9S |
p. S779
|
artikel
|
| 2 |
ID: 4115640 Advancements in Precision Medicine: A Comprehensive Overview of the National Institutes of Health All of Us Research Program's Progress
|
Mares, A.
|
|
|
21 |
9S |
p. S793
|
artikel
|
| 3 |
ID: 4121654 Analysis of a Single Heart Beat with Deep Learning for Prediction of Atrial Fibrillation in Patients with Cryptogenic Stroke: A Novel Approach to Electrocardiogram Data Augmentation
|
Shah, R.S.
|
|
|
21 |
9S |
p. S784-S785
|
artikel
|
| 4 |
ID: 4121423 A Novel Remote Monitoring Solution for Leadless Pacemakers
|
Sundaram, S.
|
|
|
21 |
9S |
p. S791
|
artikel
|
| 5 |
ID: 4120631 Artificial Intelligence Enabled Electrocardiogram Algorithm To Predict Atrial Fibrosis
|
Gruwez, H.
|
|
|
21 |
9S |
p. S783
|
artikel
|
| 6 |
ID: 4120981 A Step Forward in Predictive Cardiology: AI-Driven ECG Algorithm for Predicting the Occurrence of Intraventricular Conduction Abnormalities with Wide QRS Complex
|
KIM, J.
|
|
|
21 |
9S |
p. S783-S784
|
artikel
|
| 7 |
ID: 4121570 Atrial Extent Comparison of Spatiotemporal Electrogram Dispersion and Low-Voltage in Persistent Atrial Fibrillation Patients
|
Guerrero, D.
|
|
|
21 |
9S |
p. S776
|
artikel
|
| 8 |
ID: 4121045 A Wearable-Derived Metadata Model For The Temporal Prediction Of AF Recurrence
|
Ahluwalia, N.
|
|
|
21 |
9S |
p. S797-S798
|
artikel
|
| 9 |
ID: 4120624 Building Patient Archetypes to Analyze Willingness to Change using New Technologies: Generative Artificial Intelligence with the Goal of More Optimally Influencing Change in Patient Behaviors with Atrial Fibrillation
|
Salman, S.
|
|
|
21 |
9S |
p. S776-S777
|
artikel
|
| 10 |
ID: 4115909 Clinical and Administrative Burden of High-Intensity Remote Monitoring
|
Bhatt, A.G.
|
|
|
21 |
9S |
p. S781
|
artikel
|
| 11 |
ID: 4116646 Clinical Validation of the Arrhythmia Detection Functionality in a Single-Lead ECG Chest Strap Device
|
Easlea, H.
|
|
|
21 |
9S |
p. S779
|
artikel
|
| 12 |
ID: 4119499 Comparison of 14-day ECG Monitoring Using an E-textile Wearable and a Standard Holter Monitor with Gel Electrodes
|
Khaykin, Y.
|
|
|
21 |
9S |
p. S794
|
artikel
|
| 13 |
ID: 4149546 Coordinating Options for Neurovascular patients Needing Electrophysiology Consults and Treatments- Experiences and Processes
|
Meyer, B.
|
|
|
21 |
9S |
p. S792-S793
|
artikel
|
| 14 |
ID: 4116812 Current Landscape of Smart Technology Adoption Among Patients with Atrial Fibrillation
|
Elshafeey, A.
|
|
|
21 |
9S |
p. S795
|
artikel
|
| 15 |
ID: 4120879 Deep Learning Approaches For Prediction of Ventricular Arrhythmias Using Upstream Electrograms From Intracardiac Devices
|
Bhatia, N.K.
|
|
|
21 |
9S |
p. S774
|
artikel
|
| 16 |
ID: 4110893 Detection of QT Prolongation with Artificial Intelligence-Enabled Smartwatch ECG for Initiation of Antiarrhythmic Agents in the WatchQT Study
|
Lehmann, H.
|
|
|
21 |
9S |
p. S794-S795
|
artikel
|
| 17 |
ID: 4120594 Detection Of Structural Heart Disease Using The 12-Lead ECG: Comparative Performance Of Cardiologists And The Echonext Ai Model With Analysis Of Optimal Strategies Of Human-Computer Interaction
|
Adjei-Mosi, M.
|
|
|
21 |
9S |
p. S773-S774
|
artikel
|
| 18 |
ID: 4121476 Digital Pipeline for Extraction and Processing of Implantable Cardioverter Defibrillator Electrograms for Machine Learning Analysis
|
Bhatia, N.K.
|
|
|
21 |
9S |
p. S780
|
artikel
|
| 19 |
ID: 4116352 Digital versus Conventional Follow-up of Patients after Catheter Ablation of Atrial Fibrillation
|
Almeida, J.
|
|
|
21 |
9S |
p. S782
|
artikel
|
| 20 |
ID: 4121781 Enhancing Arrhythmia Diagnosis: A Comparison Between One and Three-Channel ECG Recordings
|
Mahajan, R.
|
|
|
21 |
9S |
p. S789-S790
|
artikel
|
| 21 |
ID: 4121485 Evaluation of Long-term Cardiovascular Risks in ENDS Users with ECG-AI Models to Predict Heart Failure and Fatal Coronary Heart Disease
|
Kalscheur, M.
|
|
|
21 |
9S |
p. S784
|
artikel
|
| 22 |
ID: 4113106 Identifying Acute Myocardial Infarction Early: Clinical Utility of a 12-Lead Electrocardiogram Synthesized from a Single Touch of a Wrist-Worn Device
|
Janciuleviciute, K.
|
|
|
21 |
9S |
p. S781-S782
|
artikel
|
| 23 |
ID: 4118529 Initial Experience with a Novel Augmented Reality System for use During Catheter Ablation
|
Musat, D.L.
|
|
|
21 |
9S |
p. S775
|
artikel
|
| 24 |
ID: 4116520 Integration of Cloud-enabled AI Analyses of Ventricular Tachycardia Isthmuses with Electroanatomic Mapping Systems
|
Villongco, C.
|
|
|
21 |
9S |
p. S773
|
artikel
|
| 25 |
ID: 4121493 Integration of the Transtheoretical Model to Create Tailored Behavioral Regimens with Generative AI to Influence Patient Behavior in Atrial Fibrillation Management
|
Tripuraneni, I.
|
|
|
21 |
9S |
p. S791-S792
|
artikel
|
| 26 |
ID: 4121494 Lessons Learned from an EHR-Integrated Clinical Decision Support Tool
|
Babakhanian, M.
|
|
|
21 |
9S |
p. S800
|
artikel
|
| 27 |
ID: 4115719 Leveraging an Integrated Cardiac Device Data Platform to Monitor Patient Outcomes Before and After Intervention for Atrial Fibrillation
|
McCabe, M.
|
|
|
21 |
9S |
p. S793
|
artikel
|
| 28 |
ID: 4122069 Machine Learning Algorithm for QTc Measurement and AAD Dosing Recommendations in Long QT mECG Dataset
|
Patel, K.
|
|
|
21 |
9S |
p. S786
|
artikel
|
| 29 |
ID: 4121631 Optimization of Hybrid Procedures with an Artificial Intelligence System
|
Oza, S.R.
|
|
|
21 |
9S |
p. S788
|
artikel
|
| 30 |
ID: 4116967 Outcomes of Atrial Fibrillaiton in Patients with Adrenal Insufficiency: a Population Based Study
|
Abdallah, N.
|
|
|
21 |
9S |
p. S790-S791
|
artikel
|
| 31 |
ID: 4121334 Perceptions Regarding CIED Patient Management Performance Reported In An International Survey
|
Seiler, A.
|
|
|
21 |
9S |
p. S777
|
artikel
|
| 32 |
ID: 4120644 Performance of a Novel Next-Generation Ambulatory ECG Long-Term Patch Monitor: A Multicenter Post- Market Evaluation
|
Knight, B.P.
|
|
|
21 |
9S |
p. S796
|
artikel
|
| 33 |
ID: 4122070 Performance of Novel Machine Learning Software: Automating QTc Measurement and AAD Dosing in a Prospective Cohort
|
Navara, R.
|
|
|
21 |
9S |
p. S786
|
artikel
|
| 34 |
ID: 4117859 Personalized ECG Analysis Model through Minimal External Guidance
|
An, J.
|
|
|
21 |
9S |
p. S785
|
artikel
|
| 35 |
ID: 4122071 Pioneering Antiarrhythmic Drug Initiation: A Patient's Journey with Software-Guided Dosing
|
Corsi, D.
|
|
|
21 |
9S |
p. S798-S799
|
artikel
|
| 36 |
ID: 4121808 Potential Implications of Recent Enhancements in Leadless Pacemaker Technology on Device Management and Healthcare Utilization: A Virtual Patient Analysis
|
Piccini, J.P.
|
|
|
21 |
9S |
p. S780
|
artikel
|
| 37 |
ID: 4118785 Predicting Aortic Stenosis in the Community using an Artificial Intelligence Model for 12-lead Electrocardiograms
|
Segar, M.
|
|
|
21 |
9S |
p. S778
|
artikel
|
| 38 |
ID: 4120801 Prevalence, Burden, and Manifestation of Atrial Fibrillation: A Large-Scale Analysis of Cardiac Patch Monitors
|
Sigfstead, S.
|
|
|
21 |
9S |
p. S796-S797
|
artikel
|
| 39 |
ID: 4114415 Protocolized Atrial Fibrillation Monitoring in Stroke: Optimizing Practice Based on Data
|
Lakkireddy, D.R.
|
|
|
21 |
9S |
p. S788-S789
|
artikel
|
| 40 |
ID: 4121021 Real-time Interactive 4d Simulation for Cardiac EP Training
|
Finlay, M.
|
|
|
21 |
9S |
p. S799-S800
|
artikel
|
| 41 |
ID: 4117031 Reducing Ambulatory ECG Review Burden Through the Integration of Automated Signal Quality Indicators
|
Easlea, H.
|
|
|
21 |
9S |
p. S778-S779
|
artikel
|
| 42 |
ID: 4115648 SmartReports™ Software-Assisted Reporting Technology Maximizes CIED Remote Transmission Review Efficiency
|
Porterfield, C.P.
|
|
|
21 |
9S |
p. S792
|
artikel
|
| 43 |
ID: 4122034 Successful Software-Guided Antiarrhythmic Drug Initiation and Extended QTc Monitoring: A Case Series on Atrial Fibrillation Treatment
|
Navara, R.
|
|
|
21 |
9S |
p. S787-S788
|
artikel
|
| 44 |
ID: 4121707 The Benefit of Signal Quality Assessment in Automated Ventricular Ectopic Beat Detection
|
Deery, A.
|
|
|
21 |
9S |
p. S798
|
artikel
|
| 45 |
ID: 4121762 Transforming Cardio-Oncology Care with Wearable Technology – Using Smartwatches to Monitor for Arrhythmias in Vulnerable Patient Populations
|
Mircea, A.
|
|
|
21 |
9S |
p. S799
|
artikel
|
| 46 |
ID: 4121467 Two-Lead ECGs Providing Enough Information for AI Models: Insights into Age Prediction
|
Feng, H.
|
|
|
21 |
9S |
p. S777
|
artikel
|
| 47 |
ID: 4120598 Unveiling the Black Box in Machine Learning - What Does Ventricular Tachycardia Catheter Redo Ablation After Stereotactic Arrhythmia Radioablation Teach Us?
|
Mircea, A.
|
|
|
21 |
9S |
p. S790
|
artikel
|
| 48 |
ID: 4121665 Use of a Novel Digital Platform for ECG Rate and Rhythm Monitoring in Patients Using an Apple iWatch
|
Mittal, S.
|
|
|
21 |
9S |
p. S794
|
artikel
|
| 49 |
ID: 4121926 Validation of a Deep Learning Ventricular Tachycardia Substrate Model
|
Marton, C.
|
|
|
21 |
9S |
p. S774-S775
|
artikel
|
| 50 |
ID: 4121716 Virtual Screens for Cardiac Ablation Procedures in Augmented Reality
|
Maher, T.
|
|
|
21 |
9S |
p. S787
|
artikel
|
| 51 |
ID: 4079965 WITHDRAWN
|
|
|
|
21 |
9S |
p. S789
|
artikel
|
| 52 |
ID: 4121168 Withdrawn
|
|
|
|
21 |
9S |
p. S795-S796
|
artikel
|
| 53 |
ID: 4121253 Withdrawn
|
|
|
|
21 |
9S |
p. S800
|
artikel
|
Tijdschrift beschrijving