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Ying Cao on Muck Rack

Ying Cao

As seen in: Nature, Wiley Online Library, arXiv, Memory Studies, ScienceDirect, BMJ Open Diabetes Research & Care, British Journal of Sports Medicine, Frontiers, MDPI, SAGE Publishing and
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Articles

AI-driven radiomics and functional imaging integration for intelligent identification of coronary high-risk plaques and prediction of cardiovascular events

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By Lei Yu, Ying Cao, Xinyue Li
| cdt.amegroups.org
Background: Accurate identification of high-risk coronary plaques and prediction of cardiovascular events are essential for improving the management of coronary artery disease (CAD). Although coronary computed tomography angiography (CTA) is widely used in clinical practice, conventional assessment methods remain limited by subjective interpretation and suboptimal prognostic accuracy.
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First-pass isolation and procedural metrics associated with catheter ablation outcomes for atrial fibrillation: a retrospective cohort study

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By Zexi Li, Fanghui Li, Xianjin Hu, Aobo Gong, Ying Cao, Bangjiaxin Ren, Wenjie Li, Yifan Zhou, Rui Zeng
| Frontiers
Abstract Background: First-pass isolation (FPI) during pulmonary vein isolation (PVI) is an acute procedural endpoint that may reflect the quality of initial lesion delivery and has been proposed as a predictor of durable ablation success.
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Cross-Spatial-Scale Radiomics for Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter, Interpretable MRI Study

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By Pei Wang, Chen-Xi Wang, Ming Jie, Xueqiang Gao, Xiao Sun, Huairong Zhang, Ying Cao, Yue Yin, Fan Li
| Academic Radiology Verified
Key Words Breast cancer Neoadjuvant chemotherapy MRI Radiomics Habitat imaging Take Home Message • TriSpace integrates global tumor, intratumoral habitat, peritumoral, and clinicopathologic features to predict pathologic complete response from pretreatment breast MRI. • Across four centers, the interpretable model outperformed single-scale radiomics and maintained discrimination across clinical and technical subgroups.
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