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Machine Learning for Ischemic Stroke CT Analysis by Vamsi Bandi is a document available to read on EtoBox.

What is Machine Learning for Ischemic Stroke CT Analysis about?

This study evaluates the diagnostic accuracy of automated ischemic lesion volume (ILV) measurements using Brainomix software compared to manual measurements on diffusion-weighted imaging (DWI) in stroke patients after thrombectomy. Results showed a significant correlation between the two methods, with automated ILV measurements potentially serving as a valuable outcome measure in clinical practice. The findings indicate that automated analysis can streamline the assessment of ischemic changes, which is cruc

Author
Vamsi Bandi
Language
EN

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