Non-invasive physiological assessment of intermediate coronary stenoses from plain angiography through artificial intelligence: the STARFLOW system

The presented machine-learning based tool showed high accuracy in prediction of wire-based FFR and iFR.

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Publication Details

Journal
European Heart Journal - Quality of Care and Clinical Outcomes
Published
2024-10-09
DOI
https://doi.org/10.1093/ehjqcco/qcae024
Citations
6
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
3.44
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article

Non-invasive physiological assessment of intermediate coronary stenoses from plain angiography through artificial intelligence: the STARFLOW system

Paolo Boretto, Giorgio Quadri, Gianfranco Sinagra, Francesco Bruno et al.
6 citations
European Heart Journal - Quality of Care and Clinical Outcomes
Coronary Interventions and Diagnostics
3.44
article

Non-invasive physiological assessment of intermediate coronary stenoses from plain angiography through artificial intelligence: the STARFLOW system

Paolo Boretto, Giorgio Quadri, Gianfranco Sinagra, Francesco Bruno, Wojciech Wojakowski, M Millesimo, Simone Palazzo, Fabrizio D’Ascenzo, Federica Proietto Salanitri, Andrea Saglietto, Mario Iannaccone, Domenico Tuttolomondo, Ovidio De Filippo, Paweł Pawlus, Giacomo Boccuzzi, Antonio Greco, Luca Franchin, Gaetano Maria De Ferrari, Antonio Maria Leone, Raffaele Mineo, Nicola Gaibazzi, Gianluca Calogero Campo, Concetto Spampinato, Guglielmo Gallone, Enrico Fabris, Wojciech Wańha, Alessandra Truffa Giachet, Davide Capodanno, Marco Aldinucci, Francesco Burzotta, Giuseppe Musumeci, Daniela Giordano, Michele Maremmani, Ferdinando Varbella
article en
6 citations

Abstract

The presented machine-learning based tool showed high accuracy in prediction of wire-based FFR and iFR.

European Heart Journal - Quality of Care and Clinical OutcomesVol. 11(3)
Università Cattolica del Sacro Cuore (IT), University of Parma (IT), University of Trieste (IT), Medical University of Silesia (PL), Agostino Gemelli University Polyclinic (IT), University of Catania (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), IRCCS Policlinico San Donato (IT), Azienda Sanitaria Locale di Asti (IT), Ospedale Santa Maria (IT), Ospedale San Giovanni Bosco (IT), Ospedale Santa Maria della Misericordia di Udine (IT), Arcispedale Sant'Anna (IT), Department of Medical Sciences (BY), A. O. Ordine Mauriziano di Torino (IT), Policlinico Universitario di Catania (IT), Ospedale degli Infermi (IT), Azienda Ospedaliero Universitaria Policlinico "G.Rodolico - San Marco" (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT), University of Turin (IT), Misericordia University (US)
Openalex Percentile: Top 7%
Coronary Interventions and Diagnostics
3.44
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