AI-enhanced cardiac CT could help curb cardiovascular events

For improving cardiovascular health outcomes, the combination of AI with various types of CT exams is generating evidence of their potential usefulness for radiologists, cardiologists, and patients.

With help from AI, CT imaging techniques such as coronary CT angiography (CCTA), stress myocardial CT perfusion imaging, and CT-derived fractional flow reserve (FFR) analysis can play a key role in reducing the use of invasive coronary angiography, helping to prevent major adverse cardiovascular events (MACE), and influencing therapy selection for people at high risk of cardiovascular complications, according to heart and cardiovascular medicine researchers.

Certain applications are progressing faster than others, however.