A recent editorial published in the Korean Journal of Radiology discusses the integration of an artificial intelligence (AI) system for coronary artery calcium (CAC) scoring into routine cardiac CT workflows at Wonkwang University Hospital in South Korea. The AI system, AVIEW CAC version 1.1, enables rapid report generation within 10 minutes of image upload, demonstrating strong agreement with manual reference standards and emphasizing the need for radiologist oversight. The implementation of AI-based CAC scoring commenced in April 2025 and has streamlined the process significantly, reducing time-consuming tasks and operator variability associated with traditional methods. Despite its advantages, the authors pointed out persistent limitations including false-positive and false-negative findings, especially in patients with complex coronary anatomy or high CAC burden. The study underscores the importance of radiologist involvement, particularly in challenging cases, and highlights the need for transparent and editable AI outputs to facilitate efficient verification of results. Overall, the editorial emphasizes the promise of AI in enhancing cardiac imaging practices but reaffirms the critical role of human oversight in ensuring accurate diagnoses.
Thu, 18 Jun 2026 17:31:42 GMT | Conexiant