Deep learning-based prediction of fractional flow reserve using optical coherence tomography

초록

We propose a deep learning algorithm that utilizes OCT-derived morphological and biochemical features to predict continuous FFR changes along the coronary artery, improving stenosis localization and enhancing diagnostic decision-making for coronary artery disease. (c) 2025 The Author(s)