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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

The late-fusion combined model, integrating CT-derived radiomic and DLFs from both intra-thrombus and peri-thrombus regions, may provide an effective approach for predicting 90-day functional outcome after mechanical thrombectomy.

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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