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◆ Radiology Artificial Intelligence2026-05-20· Medicine

End-to-End Autonomous Quantification of Brain Aneurysm and Parent Artery Morphology at CT Angiography

Samuel D. Pettersson, Jean Filo, Paulina Skrzypkowska, T Fodor, Kamil Siedlecki, Peter Liaw, Ciprian N. Ionita, Pratham B. Bhatt, Jason Luo, Wolfgang Marik, Piotr Zieliński, Elad I. Levy, Adnan H. Siddiqui, Carlos E. Baccin, Yu-Ming Chang, Christopher S. Ogilvy

原始摘要(英文原文)· Original abstract
An end-to-end autonomous artificial intelligence–based system was developed and validated at five international stroke centers to enable rapid, standardized quantification of rupture-relevant brain aneurysm and parent artery morphology metrics directly from CT angiography.
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