Purpose: Advancements in artificial intelligence (AI) have brought significant changes to medical imaging, introducing new approaches to image reconstruction. In coronary computed tomography angiography (CCTA), traditional iterative reconstruction methods have long been used as the standard for noise reduction, but they have certain limitations in balancing image clarity and accuracy. This study evaluates whether the newly developed AI-based reconstruction algorithm, DELTA, can improve image quality while maintaining diagnostic reliability compared to conventional techniques. By analyzing both objective metrics and qualitative assessments from radiologists, we aim to assess the potential impact of AI-driven reconstruction on cardiac CT imaging.