Cardiovascular Research Foundation

Impact of Artificial Intelligence on Interventional Cardiology

Partha Sardar, J. Dawn Abbott, Amartya Kundu et al.

2019 · 138 Zit.

Clinical Trial Design Principles and Outcomes Definitions for Device-Based Therapies for Hypertension: A Consensus Document From the Hypertension Academic Research Consortium

David E. Kandzari, Felix Mahfoud, Michael A. Weber et al.

2022 · 72 Zit.

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification

Jairo Aldana-Bitar, Geoffrey W. Cho, L. Anderson et al.

2023 · 4 Zit.

Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock

Elric Zweck, Manreet Kanwar, Song Li et al.

2024 · 0 Zit.

Validation Of AI-driven Automated Coronary Segmentation And Plaque Quantification Against Expert Ccta Interpretation

Sadagopan Krishnan, Aditya Narashim, Jeremy M. Stark et al.

2025 · 0 Zit.

Editorial: Do you believe artificial intelligence or my interpretation?

Akiko Maehara

2023 · 0 Zit.

TCT-197 Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

Michael Leasure, Gary Mintz, Adam Butchy

2024 · 0 Zit.