Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Systems

Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Systems

Intravascular optical coherence tomography (IVOCT) is emerging as an effective imaging technique for accurately characterizing coronary atherosclerotic plaques. This technique provides detailed information on plaque morphology and composition, enabling the identification of high-risk features associ...

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Bibliographic Details
Main Authors: Michela Sperti, Camilla Cardaci, Francesco Bruno, Syed Taimoor Hussain Shah, Konstantinos Panagiotopoulos, Karim Kassem, Giuseppe De Nisco, Umberto Morbiducci, Raffaele Piccolo, Francesco Burzotta, Fabrizio D’Ascenzo, Marco Agostino Deriu, Claudio Chiastra
Format: Article
Language:English
Published: IMR Press 2025-07-01
Series:Reviews in Cardiovascular Medicine
Subjects:
intravascular imaging
optical coherence tomography
atherosclerotic plaque
artificial intelligence
machine learning
deep learning
automated plaque characterization
clinical decision support systems
Online Access:https://www.imrpress.com/journal/RCM/26/7/10.31083/RCM39210
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