Reinforcement learning for patient-specific optimal stenting of intracranial aneurysms
Abstract Developing new capabilities to predict the risk of intracranial aneurysm rupture and to improve treatment outcomes in the follow-up of endovascular repair is of tremendous medical and societal interest, both to support decision-making and assessment of treatment options by medical doctors,...
Main Authors: | E. Hachem, P. Meliga, A. Goetz, P. Jeken Rico, J. Viquerat, A. Larcher, R. Valette, A. F. Sanches, V. Lannelongue, H. Ghraieb, R. Nemer, Y. Ozpeynirci, T. Liebig |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-34007-z |
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