Artificial Intelligence In Coronary Artery Disease: Essential Aspects

Zuin, Marco; Vu, Phuc Q; Vu, Loc; Mihas, Imran; Nguyen, Thach G.; Rigatelli, Gianluca

doi:10.53901/tjbs.2022.10.art03

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Extensive utilization of computational fluid dynamics studies, artificial intelligence, and deep learning packages and programs was initiated in our research protocols and aimed to optimize the research methodology on flows and arterial phenomena, systemize the protocol for angiographic interpretation, and give the preliminary online results without the need for offline manual image review [ 12 , 13 , 14 , 15 , 16 , 17 ].…”

Section: Angiographic Viewsmentioning

confidence: 99%

Introducing a Novel Innovative Technique for the Recording and Interpretation of Dynamic Coronary Angiography

Nguyen,

Ngo,

et al. 2024

Diagnostics

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In the study of coronary artery disease (CAD), the mechanism of plaque formation and development is still an important subject for investigation. A limitation of current coronary angiography (CAG) is that it can only show static images of the narrowing of arterial channels without identifying the mechanism of the disease or predicting its progression or regression. To address this limitation, the CAG technique has been modified. The new approach emphasizes identifying and analyzing blood flow patterns, employing methodologies akin to those used by hydraulic engineers for fluid or gas movement through domestic or industrial pipes and pumps. With the new technique, various flow patterns and arterial phenomena—such as laminar, turbulent, antegrade, retrograde, and recirculating flow and potentially water hammer shock and vortex formation—are identified, recorded, and classified. These phenomena are then correlated with the presence of lesions at different locations within the coronary vasculature. The formation and growth of these lesions are explained from the perspective of fluid mechanics. As the pathophysiology of CAD and other cardiovascular conditions becomes clearer, new medical, surgical, and interventional treatments could be developed to reverse abnormal coronary flow dynamics and restore laminar flow, leading to improved clinical outcomes.

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