Heart Imaging Technologies (United States)

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry

Richard Ríos, Robert J.H. Miller, Nipun Manral et al.

2022 · 39 Zit.

AI-based identification of patients who benefit from revascularization: a multicenter study

Wenhao Zhang, Robert JH Miller, Krishna Patel et al.

2025 · 1 Zit.

Abstract 4366855: AI-enabled Ascending Aorta and Pulmonary Trunk Volumetry in Coronary Artery Calcium Scans for Heart Failure Prediction: An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, K. Atlas, Chenyu Zhang et al.

2025 · 0 Zit.

Abstract 4369683: AI-driven Measurement of Myosteatosis in Coronary Artery Calcium Scans Predicts Atrial Fibrillation and Heart Failure. An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Amir Vahedian‐Azimi, Kyle Atlas et al.

2025 · 0 Zit.

Abstract 4366401: Artificial Intelligence-Based Coronary Artery Calcium (AI-CAC) Score Empowers the “Power of Zero”: An AI-CVD Study within the Multi-Ethnic Study of Atherosclerosis (MESA)

Morteza Naghavi, Kyle Atlas, Chenyu Zhang et al.

2025 · 0 Zit.

Abstract 4366112: AI-Measured Thoracic Ascending Aortic Calcification in CAC Scans Predicts Cardiovascular Events: An AI-CVD study in the FHS Offspring Cohort

Morteza Naghavi, Kyle Atlas, Chen‐Yu Zhang et al.

2025 · 0 Zit.