Medical Xpress March 2, 2025
Stroke is a leading cause of death and disability worldwide, making early diagnosis and intervention critical. In a recent study published in IEEE Access, our team introduced a groundbreaking end-to-end approach to stroke imaging analysis, combining effective connectivity modeling with interpretable artificial intelligence (AI). This innovation has the potential to transform clinical workflows by enhancing both the accuracy and transparency of stroke diagnoses, highlighting information and flow changes in areas that should be targeted by therapies such as stem cells.
Traditionally, stroke diagnosis relies on imaging modalities such as CT and MRI, alongside clinician expertise. However, these methods face challenges in speed, reproducibility, and the identification of complex patterns in imaging data. Our study addresses these gaps by leveraging effective...
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