Zuo D, Chen D, Zhu M, Xue Q. Sensitivity analysis of the mechanical properties on atherosclerotic arteries rupture risk with an artificial neural network method.
Comput Methods Biomech Biomed Engin 2024:1-12. [PMID:
38268436 DOI:
10.1080/10255842.2024.2305862]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/28/2023] [Indexed: 01/26/2024]
Abstract
Considering the differences between individuals, in this paper, an uncertainty analysis model for predicting rupture risk of atherosclerotic arteries is established based on a back-propagation artificial neural network. The influence of isotropy and anisotropy on the rupture risk of atherosclerotic arteries is analyzed, and the results demonstrate the effectiveness of the artificial neural network in predicting the rupture risk. Moreover, the rupture risk of atherosclerotic arteries at different inflation sizes are simulated. This study contributes to a better understanding of the underlying mechanisms of atherosclerotic arteries rupture and promotes the advancement of artificial neural networks in atherosclerosis research.
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