Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.
Marco LombardiRocco VergalloAndrea CostantinoFrancesco BianchiniTsunekazu KakutaTomasz PawlowskiAntonio Maria LeoneGennaro SardellaPierfrancesco AgostoniJonathan M HillGiovanni Luigi De MariaAdrian P BanningTomasz RolederAnouar BelkacemiCarlo TraniFrancesco BurzottaPublished in: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions (2024)
ML algorithms derived from clinical, angiographic, and OCT parameters can identify patients with a positive or negative FFR.