Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility.

Arnas Karužas, Justinas Balčiūnas, Mark Fukson,Dovydas Verikas,Dovydas Matuliauskas, Tautvydas Platūkis, Dovilė Vaičiulienė,Julija Jurgaitytė,Nora Kupstytė-Krištaponė,Rūta Dirsienė,Gediminas Jaruševičius,Gintarė Šakalytė,Jurgita Plisienė,Vaiva Lesauskaitė

Echocardiography (Mount Kisco, N.Y.)（2022）

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摘要

Fully automated 2D TTE PLAX view aortic measurements using a novel AI-based quantification software are feasible and yield results that are in close agreement with what experienced readers measure manually while providing better reproducibility. This approach may prove to have important clinical implications in the automation of the aortic root and ascending aorta assessment to improve workflow efficiency.

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关键词

aorta,artificial intelligence,automated measurements,deep learning,echocardiography

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