AI-assisted precise and rapid diagnosis of “heart diseases”
Release time:
2025-03-01
In recent years, Chinese companies have actively invested in research on the application of AI-powered medical imaging software in the field of cardiovascular diseases. Several products have been approved for market launch, with a primary focus on niche areas such as coronary CT angiography and auxiliary analysis of electrocardiograms.
AI-powered medical imaging software applied to CCTA can achieve improved image quality and automated measurements. Traditional methods, such as increasing radiation dose or employing iterative reconstruction algorithms, can reduce noise to some extent. However, when AI is applied to CCTA image reconstruction, deep learning (DL) models can effectively lower noise levels and enhance image quality, thereby avoiding the potential risks associated with high radiation exposure. Before undergoing a CCTA examination, it is typically necessary to obtain a non-contrast CT scan to calculate the coronary artery calcium score (CACS). AI models can directly perform automatic CACS calculations using CCTA data, optimizing the CCTA workflow and reducing radiation exposure. Moreover, when CCTA is used to detect and evaluate calcified plaques, AI-assisted analysis can significantly shorten the time required for these procedures. In terms of assessing coronary stenosis, clinical evaluation traditionally relies on visual estimation of vessel diameter reduction—specifically, the percentage decrease in the diameter at the narrowed segment compared to the normal diameters proximal and distal to the lesion—as per the Coronary Artery Disease Reporting and Data System (CAD-RADS) grading criteria. Among these assessments, fractional flow reserve (FFR)—an indicator of coronary blood flow—is usually determined through invasive angiography. However, AI technology can leverage AI algorithms to perform three-dimensional reconstructions and, combined with computational fluid dynamics simulations, accurately estimate FFR values without the need for invasive procedures.
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