Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging

To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts. Quantitative parameters extracted from myocardial perfusion imaging (MP...

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Veröffentlicht in:	Journal of nuclear cardiology 2020-10, Vol.27 (5), p.1652-1664
Hauptverfasser:	Garcia, Ernest V., Klein, J. Larry, Moncayo, Valeria, Cooke, C. David, Del’Aune, Christian, Folks, Russell, Moreiras, Liudmila Verdes, Esteves, Fabio
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Artificial Intelligence Cardiology Cardiovascular disease Coronary Artery Disease - diagnostic imaging Diagnosis, Computer-Assisted Expert systems Female Humans Imaging Ischemia Male Medical diagnosis Medicine Medicine & Public Health Middle Aged Myocardial Perfusion Imaging myocardial perfusion SPECT Nuclear Medicine Observer Variation Original Article Quantitative analysis quantitative analysis, structured reporting Radiology Retrospective Studies Sensitivity and Specificity Tomography, Emission-Computed, Single-Photon
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