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Open access Sep 2026

Prediction of functional outcome after mechanical thrombectomy using radiomics and deep learning features derived from intra-thrombus and peri-thrombus regions

Purpose Although mechanical thrombectomy (MT) achieves high recanalization rates in acute ischemic stroke (AIS), functional outcomes remain highly inconsistent. We aimed to evaluate the effectiveness of radiomics and deep learning features (DLFs) extracted from both intra-thrombus and peri-thrombus regions on baseline...

Kai Shang, Xiao-Xiao Xu, Li-Fang Ye et al. · 0 citations
Open access Aug 2026

A foundation model for acute abdomen diagnosis stratification and triage on noncontrast computed tomography

A foundation model for non-contrast computed tomography, a multi-task AI system built on a self-supervised foundation model that detects 11 acute abdominal conditions and performs three risk-stratification subtasks from NCCT images is presented.

Chao Zhu, Rui-Peng Zhang, Xin-Yu Song et al. · 0 citations

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