Künstliche Intelligenz in der kardialen Computertomographie

Brandt, Verena und Tesche, Christian (2021): Künstliche Intelligenz in der kardialen Computertomographie. In: Kardiologe, Bd. 15, Nr. 6: S. 655-668

Abstract

Cardiac computed tomography (CT) enables a precise quantification of coronary calcifications for risk stratification as well as noninvasive morphological and functional assessment of coronary stenosis and plaque morphology as an established diagnostic tool in current guidelines for the diagnostics of coronary artery disease (CAD). Artificial intelligence (AI) has long been part of our lives and yet we are at the beginning of a new epoch in cardiac imaging. The advances in the development of AI and the application in the field of cardiac CT imaging offer many possibilities for image improvement and optimization as well as improved diagnostic accuracy of anatomical and functional assessment of CAD. The AI procedures are learning systems, which use complex algorithms such as machine learning (ML) for automated detection and analysis of relevant features of imaging data and enable the characterization of treatment and disease progression as well as risk stratification. The application of AI methods places high demands on scientists and clinicians, which must be taken into account for results with high precision. Promising results of AI methods in cardiac CT facilitate a steadily growing number of clinical applications and the development into an indispensable diagnostic tool in modern cardiac imaging.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1864-9718
• Sprache: Deutsch