Application of AI in cardiovascular multimodality imaging
Giuseppe Muscogiuri,
Valentina Volpato,
Riccardo Cau,
Mattia Chiesa,
Luca Saba,
Marco Guglielmo,
Alberto Senatieri,
Gregorio Chierchia,
Gianluca Pontone,
Serena Dell’Aversana,
U. Joseph Schoepf,
Mason G. Andrews,
Paolo Basile,
Andrea Igoren Guaricci,
Paolo Marra,
Denisa Muraru,
Luigi P. Badano,
Sandro Sironi
Affiliations
Giuseppe Muscogiuri
Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Italy; School of Medicine, University of Milano-Bicocca, Milan, Italy; Corresponding author.
Valentina Volpato
Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy; IRCCS Ospedale Galeazzi - Sant'Ambrogio, University Cardiology Department, Milan, Italy
Riccardo Cau
Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
Mattia Chiesa
Centro Cardiologico Monzino IRCCS, Milan, Italy
Luca Saba
Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Cagliari, Italy
Marco Guglielmo
Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, the Netherlands
Alberto Senatieri
School of Medicine, University of Milano-Bicocca, Milan, Italy
Gregorio Chierchia
School of Medicine, University of Milano-Bicocca, Milan, Italy
Gianluca Pontone
Centro Cardiologico Monzino IRCCS, Milan, Italy
Serena Dell’Aversana
Department of Radiology, Ospedale S. Maria Delle Grazie - ASL Napoli 2 Nord, Pozzuoli, Italy
U. Joseph Schoepf
Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
Mason G. Andrews
Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr., Charleston, SC, USA
Paolo Basile
University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
Andrea Igoren Guaricci
University Cardiology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
Paolo Marra
Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
Denisa Muraru
School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
Luigi P. Badano
School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Cardiac, Neurological and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano IRCCS, Milan, Italy
Sandro Sironi
School of Medicine, University of Milano-Bicocca, Milan, Italy; Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
Technical advances in artificial intelligence (AI) in cardiac imaging are rapidly improving the reproducibility of this approach and the possibility to reduce time necessary to generate a report.In cardiac computed tomography angiography (CCTA) the main application of AI in clinical practice is focused on detection of stenosis, characterization of coronary plaques, and detection of myocardial ischemia.In cardiac magnetic resonance (CMR) the application of AI is focused on post-processing and particularly on the segmentation of cardiac chambers during late gadolinium enhancement. In echocardiography, the application of AI is focused on segmentation of cardiac chambers and is helpful for valvular function and wall motion abnormalities.The common thread represented by all of these techniques aims to shorten the time of interpretation without loss of information compared to the standard approach.In this review we provide an overview of AI applications in multimodality cardiac imaging.
