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...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal Article |
| Published: |
AME Publishing Company
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95381 |