Abstract
Coronary artery disease (CAD) diagnosis requires a precise assessment of patient profile and disease extension. While non-invasive imaging modalities offer an in-depth evaluation of CAD through differential approaches, this is based primarily on detecting coronary plaques or inducible myocardial ischaemia, thus eachoffering only a partial outlook of this condition. The improvement in appropriately identifying CAD patients at risk of developing major adverse cardiovascular events and guiding treatment outcomes will require developing a personalised diagnostic strategy for a value-based application of current technologies.
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