Rudolf L M van Herten, Ioannis Lagogiannis, Tim Leiner, Ivana Išgum
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The role of artificial intelligence in coronary CT angiography.
Coronary CT angiography (CCTA) offers an efficient and reliable tool for the non-invasive assessment of suspected coronary artery disease through the analysis of coronary artery plaque and stenosis. However, the detailed manual analysis of CCTA is a burdensome task requiring highly skilled experts. Recent advances in artificial intelligence (AI) have made significant progress toward a more comprehensive automated analysis of CCTA images, offering potential improvements in terms of speed, performance and scalability. This work offers an overview of the recent developments of AI in CCTA. We cover methodological advances for coronary artery tree and whole heart analysis, and provide an overview of AI techniques that have shown to be valuable for the analysis of cardiac anatomy and pathology in CCTA. Finally, we provide a general discussion regarding current challenges and limitations, and discuss prospects for future research.
期刊介绍：
The scope of the Netherlands Heart Journal is to contribute to the national and international literature by publishing scientific papers in the field of cardiovascular medicine. It also provides a platform for Continuing Medical Education for cardiologists and those in training for the speciality of cardiology in the Netherlands.
The Netherlands Heart Journal is made available to cardiologists, cardiologists in training, cardiopulmonary surgeons, cardiopulmonary surgeons in training, internists and paediatric cardiologists. The journal is the official journal of the Netherlands Society of Cardiology.
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