Artificial intelligence for advanced analysis of coronary plaque

• Verfasst von: Assen, Marly van [VerfasserIn]
• Verfasst von: Knebel Doeberitz, Philipp L. von [VerfasserIn]
• Verfasst von: Quyyumi, Arshed A [VerfasserIn]
• Verfasst von: De Cecco, Carlo N [VerfasserIn]
• Titel: Artificial intelligence for advanced analysis of coronary plaque
• Verf.angabe: Marly van Assen, Philipp von Knebel Doeberitz, Arshed A. Quyyumi, and Carlo N. De Cecco
• E-Jahr: 2023
• Jahr: 26 April 2023
• Umfang: 6 S.
• Fussnoten: Gesehen am 29.06.2023
• Titel Quelle: Enthalten in: European heart journal. Supplements
• Ort Quelle: Oxford : Oxford Univ. Press, 2001
• Jahr Quelle: 2023
• Band/Heft Quelle: 25(2023), Supplement_C$m4, Seite C112-C117
• ISSN Quelle: 1554-2815
• DOI: doi:10.1093/eurheartjsupp/suad038
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1851266569

Abstract

The field of coronary plaque analysis is advancing including more quantitative analysis of coronary artery diseases such as plaque burden, high-risk plaque features, computed tomography-derived fractional flow reserve, and radiomics. Although these biomarkers have shown great promise for the diagnosis and prognosis of cardiac patients in a research setting, many of these advanced analyses are labour and time intensive and therefore hard to implement in daily clinical practice. Artificial intelligence (AI) is playing an increasing role in supporting the quantification of these new biomarkers. AI offers the opportunity to increase efficiency, reduce human error and reader variability and to increase the accuracy of diagnosis and prognosis by automating many processing and supporting clinicians in their decision-making. With the use of AI these novel analysis approaches for coronary artery disease can be made feasible for clinical practice without increasing cost and workload and potentially improve patient care.