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Computational modeling and experimental …
WebJan 3, 2024 · Second, CT-FFR was calculated based on computational fluid dynamics algorithm. It's still unknown whether the results can be generalized to the conditions of machine-learning CT-FFR calculation. A larger study population closely to the real clinical situation, especially those with CAC ≥ 400 or even ≥ 1,000, is necessary to confirm the … WebMar 8, 2024 · In the CT-FFR and standard care groups, respectively, the percentage of patients with obstructive disease who did not undergo intervention within 90 days was 7.4% [31/421] and 8.1% [39/483]. The utilization of on-site CT-FFR with machine learning decreased the rate of patients with stable coronary artery disease undergoing invasive … section 97 tcpa
Effect of Coronary Calcification Severity on Measurements and ...
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