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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

R. de Caterina

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4 papers indexed here

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Open access Aug 2026

Impact of CYP2C19 loss-of-function variants on outcomes in atrial fibrillation patients undergoing percutaneous coronary intervention: rationale and study design of the WOEST-3 genetic substudy

Background: The impact of CYP2C19 loss-of-function (LOF) variants on clopidogrel efficacy in atrial fibrillation (AF) patients undergoing percutaneous coronary intervention (PCI) remains uncertain. While clopidogrel is the preferred P2Y12 inhibitor in combination with oral anticoagulants, approximately one-third of pat...

S. Chiusolo, A. Verburg, C. Morizzo et al. · 0 citations
Open access Aug 2026

Visual standardized quantification of late gadolinium enhancement, a contour-less method for late gadolinium enhancement quantification

VISTAQ provides highly reproducible, time-efficient LGE quantification without dedicated software and demonstrates non-inferior prognostic discrimination in HCM compared with conventional threshold-based techniques.

G. D. Aquaro, R. Licordari, C. De Gori et al. · 0 citations
Aug 2026

The DiagnOsis of MINOCA (DOMINO) registry: a real-world use of multimodality imaging and its impact on etiologic classification.

Advanced diagnostic testing was associated with a higher likelihood of a determined etiologic diagnosis in MINOCA, despite marked international variability in its use; however, this association is partly definitional, as advanced testing directly contributes to diagnostic ascertainment for several etiologic categories.

D. Morrone, M. Alberti, J. Cravo et al. · 0 citations
Open access Jul 2026

Standard clinical and stress electrocardiogram variables to exclude left main and left main-equivalent disease: the MASTER study.

Among CCS patients, LMCAD/LMCAD-equivalent can be excluded with high negative predictive value through a model based on clinical and EST parameters, allowing initial non-invasive management of most patients able to exercise.

M. D. De Carlo, M. A. Malanima, L. Baglietto et al. · 0 citations

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