Here are the Current and Future Applications of Artificial Intelligence in Cardiac CT journals presenting the latest research across various disciplines. From social sciences to technology, each article is expected to provide valuable insights to our readers.
Abstract
Purpose of Review
In this review, we aim to summarize state-of-the-art artificial intelligence (AI) approaches applied to cardiovascular CT and their future implications.
Recent Findings
Recent studies have shown that deep learning networks can be applied for rapid automated segmentation of coronary plaque from coronary CT angiography, with AI-enabled measurement of total plaque volume predicting future heart attack. AI has also been applied to automate assessment of coronary artery calcium on cardiac and ungated chest CT and to automate the measurement of epicardial fat. Additionally, AI-based prediction models integrating clinical and imaging parameters have been shown to improve prediction of cardiac events compared to traditional risk scores.