A Review on the Estimation of Coronary Fractional Flow Reserve Using Artificial Intelligence

Coronary Artery Disease (CAD) is the most common cause of death worldwide. The most widely used and precise method for diagnosing CAD is invasive coronary angiography (ICA). Fractional flow reserve (FFR), is an index of the functional severity of coronary stenoses that requires further invasive intervention during ICA. With the advancements in artificial intelligence (AI) technology, the estimation of FFR by using AI is gaining popularity, to serve the need for fast, accurate, and less invasive FFR estimation that can integrate physician’s workflow. The current progress in this area has been presented by reviewing studies employing various approaches.