CarDIA-AI (coronary computed tomographic angiography to optimize diagnostic yield of invasive angiography for low-risk patients screened with artificial intelligence)
Date & Time
Thursday, May 30, 2024, 11:45 AM - 12:00 PM
Jeremy Petch

Sponsored by:

Track Chair:

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