1,432 results on '"Narayan, Sanjiv M"'
Search Results
2. Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure
3. Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias
4. Tachycardia-induced metabolic rewiring as a driver of contractile dysfunction
5. Advanced Electroanatomic Mapping: Current and Emerging Approaches
6. Comparative arrhythmia patterns among patients on tyrosine kinase inhibitors
7. Artificial intelligence in cardiac electrophysiology
8. List of contributors
9. Catheter Ablation as First-Line Therapy in Persistent Atrial Fibrillation: Patient Characteristics and Clinical Outcomes
10. Determinants of global cardiac implantable electrical device remote monitoring utilization – Results from an international survey
11. Safety of transvenous cardiac defibrillator and magnetic titanium beads system for gastroesophageal reflux disease: a case report
12. Tyrosine kinase inhibitor–associated ventricular arrhythmias: a case series and review of literature
13. Racial, ethnic, and sex disparities in atrial fibrillation management: rate and rhythm control
14. Needle-Tipped Catheter Ablation of Papillary Muscle Results in Deeper and Larger Ablation Lesions
15. Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices
16. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
17. Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation
18. Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit
19. Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
20. Factors of engagement in research after graduation from EP fellowship: An HRS survey
21. Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
22. Electrical Substrate Ablation for Refractory Ventricular Fibrillation: Results of the AVATAR Study.
23. Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart Failure
24. Populations of in silico myocytes and tissues reveal synergy of multiatrial‐predominant K+‐current block in atrial fibrillation
25. Termination of persistent atrial fibrillation by ablating sites that control large atrial areas.
26. Abstract 19210: Interpretation of Deep Learning Model That Identifies Regional Myocardial Dysfunction From the Surface Ecg
27. Abstract 18630: Variance In Endocardial Voltage Between The Sinus Node And Other Bi-atrial Regions In Patients With Atrial Fibrillation
28. Abstract 18192: Sleep Apnea and Incident Atrial Fibrillation : Implications for Targeted Screening
29. Abstract 18102: Impact of Regional Cardiac Wall Motion Abnormalities on Ejection Fraction and Mortality: Large Data Enabled by Natural Language Processing
30. Abstract 17934: Performance of an Electrocardiographic Deep Learning Model for Detecting Wall Motion Abnormalities: An Analysis of Impact From Cardiovascular Comorbidities and Race in an External Validation Study
31. Abstract 17861: Separating Patients With Long-Term Success versus Acute Response From Atrial Fibrillation Ablation Using Explainable Machine Learning
32. Abstract 17845: Logic-Based Natural Language Processing Identifies VT Recurrence in the Electronic Health Record
33. Abstract 17420: Enhanced Identification of Cardiac Wall Motion Abnormalities: An Externally Validated Deep Neural Network Approach Outperforms Expert and Quantitative Analysis of Electrocardiograms
34. Abstract 16401: Optimizing ChatGPT to Detect VT Recurrence From Complex Medical Notes
35. Abstract 13321: Novel Regional Analysis of Left Atrial Strain From Computed Tomography Separates Patients With Persistent versus Paroxysmal Atrial Fibrillation
36. Opportunities and challenges in heart rhythm research: Rationale and development of an electrophysiology collaboratory
37. Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features
38. Successful Cardiac Resynchronization Therapy Reduces Negative Septal Work in Patient-Specific Models of Dyssynchronous Heart Failure
39. Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives
40. What Cannot be Missed: Important Publications on Electrophysiology in 2023
41. Action Potential Dynamics in Human Atrial Fibrillation
42. Kamalini Narayan
43. Prakash Narayan
44. Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes
45. Competing risks in patients with primary prevention implantable cardioverter-defibrillators: Global Electrical Heterogeneity and Clinical Outcomes study
46. Abstract 15924: Intelligent Machine Learning Fusion Framework Predicts Atrial Fibrillation Ablation Outcomes With Demographic, Morphological, and Imaging Features
47. Abstract 15312: Automatic Left Atrial Volume and Sphericity Index Calculation From Cardiac CT Using Computer Graphics Imaging and Deep Learning
48. Abstract 15172: Improving Cardiac Segmentation for Atrial Fibrillation Ablation: A Prospective Trial of Machine Learned Geometric Dissection vs Experts
49. Abstract 14115: Multivariate Predictors of Long-Term Outcome From Ventricular Tachycardia Ablation in a Large Registry
50. Abstract 13833: Arrhythmia Patterns in Patients Managed With and Without Tyrosine Kinase Inhibitors
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