Artificial intelligence assists in the precise and rapid diagnosis of "heart conditions."
Release date:
2025-03-01
In recent years, Chinese enterprises have actively invested in research on AI-powered medical imaging software applications in the cardiovascular disease field. Several products have already been approved for market launch, primarily focusing on niche areas such as coronary CT angiography and electrocardiogram-assisted analysis.
AI-powered medical imaging software applied to CCTA can enhance image quality and enable automated measurements. Traditional methods have relied on increasing radiation doses or employing iterative reconstruction techniques to reduce noise—but when AI is integrated into CCTA image reconstruction, it leverages deep learning (DL) models to effectively minimize noise, improve image clarity, and mitigate the potential risks associated with high radiation exposure. Before performing a CCTA examination, patients typically undergo a non-contrast CT scan to obtain the coronary artery calcium score (CACS). However, AI models can now directly analyze CCTA images to automatically calculate the CACS, streamlining the CCTA workflow while significantly reducing radiation exposure. Moreover, when CCTA is used to detect and assess calcified plaques, AI-assisted tools can markedly shorten the time required for these assessments. In terms of quantifying coronary artery stenosis, clinicians traditionally rely on visual diameter measurement, grading lesions based on the percentage reduction in diameter compared to the normal vessel diameters proximal and distal to the narrowed area—following the CAD-RADS classification system. Meanwhile, fractional flow reserve (FFR), a critical metric for evaluating coronary blood flow, currently requires invasive angiography via percutaneous intervention to measure accurately. Thanks to advanced AI algorithms, however, it’s now possible to perform 3D reconstructions and combine them with computational fluid dynamics simulations, enabling precise FFR calculations without the need for invasive procedures.
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