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Coronary artery disease (CAD), the leading cause of death worldwide, was traditionally diagnosed using invasive coronary angiography (ICA), which carries risks and is expensive. Cardiac computed tomographic angiography (CCTA), a non-invasive alternative, has emerged as an effective diagnostic tool. This case study demonstrates how a team developed an AI-powered predictive model to identify patients suitable for CCTA and implemented a centralized triage pathway to guide patients to the most appropriate test. The next step is to evaluate the combined AI tool and triage pathway through a randomized controlled trial