Performance of artificial intelligence in detecting the chronic total occlusive lesions of coronary artery based on coronary computed tomographic angiography

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Performance of artificial intelligence in detecting the chronic total occlusive lesions of coronary artery based on coronary computed tomographic angiography

Background: Coronary chronic total occlusion (CTO) increases the risk of developing major adverse cardiovascular events (MACE) and cardiogenic shock. Coronary computed tomography angiography (CCTA) is a safe, noninvasive method to diagnose CTO lesions. With the development of artificial intelligen...

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Bibliographic Details
Main Authors:	Yang, Y., Zhou, Z., Zhang, N., Wang, R., Gao, Y., Ran, X., Sun, Zhonghua, Zhang, H., Yang, G., Song, Y., Xu, L.
Format:	Journal Article
Published:	AME Publishing Company 2024
Online Access:	http://hdl.handle.net/20.500.11937/95381

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