Sanjiv M. Narayan

Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association

2024 · 199 Zit. · Circulation

Integrating blockchain technology with artificial intelligence for cardiovascular medicine

2019 · 110 Zit. · Nature Reviews Cardiology

Transparent sharing of digital health data: A call to action

2019 · 31 Zit. · Heart Rhythm

Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association

2024 · 26 Zit. · Circulation Genomic and Precision Medicine

Access to digital health technologies: personalized framework and global perspectives

2025 · 9 Zit. · Nature Reviews Cardiology

Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence

2024 · 6 Zit. · Circulation Arrhythmia and Electrophysiology

Abstract 16401: Optimizing ChatGPT to Detect VT Recurrence From Complex Medical Notes

2023 · 3 Zit. · Circulation

Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives

2024 · 3 Zit. · Cardiovascular Digital Health Journal

Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset

2024 · 2 Zit. · Diagnostics

Abstract 4370585: AI-based prediction of mortality in patients with ventricular tachycardia

2025 · 0 Zit. · Circulation

Abstract 15172: Improving Cardiac Segmentation for Atrial Fibrillation Ablation: A Prospective Trial of Machine Learned Geometric Dissection vs Experts

2022 · 0 Zit. · Circulation

Learning AI for busy clinicians: Staying ahead

2024 · 0 Zit. · Heart Rhythm

Novel Domain Knowledge Encoding Enables Machine Learning of Rapid, Expert-level Segmentation of Cardiac Computed Tomography

2022 · 0 Zit. · Research Square (Research Square)