Artificial Intelligence-Driven Fractional Flow Reserve Assessment: Technical Foundations, Clinical Insights, and Future Directions

Coronary artery disease (CAD) remains a leading cause of global morbidity and mortality. Accurate diagnosis of ischemia-causing coronary stenoses is essential for guiding revascularization and improving outcomes. Although invasive fractional flow reserve (FFR) remains the gold standard for functiona...

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Bibliographic Details

Published in:	Medicina
Main Authors:	Abdelrahman Hafez, Kamal Awad, Juan M. Farina, Mohamed Nour, Mohamed Reyad Mohamed, Isabel G. Scalia, Sherif Ahmed, Fatmaelzahraa Abdelfattah, Mahshad Razaghi, Laurève Chollet, Cecilia Villa Etchegoyen, Ramzi Ibrahim, Balaji Tamarappoo, Matthew Stib, Chadi Ayoub, Reza Arsanjani
Format:	Article
Language:	English
Published:	MDPI AG 2026-06-01
Subjects:	fractional flow reserve artificial intelligence deep learning non-invasive imaging functional assessment coronary artery disease
Online Access:	https://www.mdpi.com/1648-9144/62/6/1157