Machine learning augmented reduced-order models for FFR-prediction

Computational predictions in cardiovascular medicine have largely relied on explicit models derived from physical and physiological principles. Recently, the application of artificial intelligence in cardiovascular medicine has grown substantially.

Automated summary

Computational predictions in cardiovascular medicine have traditionally been based on explicit models derived from physical and physiological principles. However, there has been a substantial growth in the application of artificial intelligence in this field in recent years.