Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment
Background Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).Methods The study in...
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Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2025-01-01
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Series: | Open Heart |
Online Access: | https://openheart.bmj.com/content/12/1/e003115.full |
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