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This study investigates the effectiveness of deep learning-enhanced contrast in improving the diagnostic accuracy of CT angiography for stroke detection. A total of 102 patients were analyzed, showing that deep learning-augmented CT angiography significantly outperformed conventional methods in both quantitative and qualitative assessments, leading to higher sensitivity in detecting vessel occlusions. The findings suggest that this advanced imaging technique can enhance image quality and diagnostic performa

Author

Tiago Luz

Language

EN