A Study to Measure the Ability of AI-CSQ to Support the Busy CCTA Reader: SMART-CT.

Michael F. Morris,Mahesh Chandrasekhar, Harish Gudi, Christopher Schumann, Benjamin Benson,Nicholas Ng,Sarah Mullen,Whitney Huey, Wesley O'Neal

Journal of cardiovascular computed tomography（2024）

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摘要

Coronary CT angiography (CCTA) interpretation can be time consuming and subject to substantial variation.1 The SMART-CT study assessed whether an AI-informed coronary stenosis quantification tool (AI-CSQ, RoadMap Analysis, HeartFlow, Mountain View, CA) can reduce CCTA interpretation time requirements, maintain reader accuracy and confidence, and reduce inter-reader variability for readers of varied experience.

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