Cardiac Computed Tomography for the Assessment of Myocardial Bridging: A Scoping Review of the Emerging Role of Artificial Intelligence and Machine Learning

(1) Background: Myocardial bridging (MB) is a congenital coronary anomaly with potential clinical significance. Artificial intelligence (AI) applied to cardiac computed tomography angiography (CCTA), particularly through CT-derived fractional flow reserve (CT-FFR), offers a novel, non-invasive appro...

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Bibliografiska uppgifter

Huvudupphov:	Amro Abu Suleiman, Federico Russo, Luigi Della Valle, Davide Ausiello, Ewelina Bukowska-Olech, Vincenzo Iannibelli, M. Omar Al Droubi, Gabriella Sannino, Marco Bernardi, Luigi Spadafora
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-09-01
Serie:	Journal of Cardiovascular Development and Disease
Ämnen:	myocardial bridging artificial intelligence machine learning cardiac computed tomography
Länkar:	https://www.mdpi.com/2308-3425/12/9/350
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