A non-invasive prediction model for coronary artery stenosis severity based on multimodal data
IntroductionCoronary artery disease (CAD) diagnosis currently relies on invasive coronary angiography for stenosis severity assessment, carrying inherent procedural risks. This study develops a transformer-based multimodal prediction model to provide a clinically reliable non-invasive alternative. B...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2025.1592593/full |
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