AI Reads Heart Scans to Predict Who Benefits Most from AF Ablation
A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...
A multicenter study shows that an explainable machine learning model combining cardiac CT angiography features with clinical data can predict ...
A machine learning study of 351 breast cancer patients shows that MRI radiomics features from both the tumor and its ...
A retrospective study of 89 patients finds that 18F-FDG PET/CT metabolic parameters, particularly SUVmax, are statistically associated with PD-L1 expression ...
Researchers trained machine learning models on routine multiphasic CT scans to distinguish adrenal metastases from lipid-poor adenomas with over 90 ...
A multi-omics study links the ATP-gated receptor P2RX4, expressed mainly by tumor cells, to macrophage marker CD163 and hypoxia signatures ...
A new editorial in Veterinary Oncology introduces a landmark article collection showing how artificial intelligence, from deep learning pathology to ...
An integrated 18F-NOTA-FAPI-04 PET/MRI approach combining fibroblast-targeted molecular imaging with quantitative MRI features outperforms either modality alone in distinguishing active ...
A machine learning model applied to gadoxetic acid-enhanced MRI can predict how liver metastases respond to chemotherapy and reveals that ...
A new commentary argues that LI-RADS, the standardized liver imaging system built for diagnosis, is evolving into a prognostic biomarker ...
A new systematic review finds that high intratumor heterogeneity, measured by single-cell sequencing and MRI radiomics, is consistently linked to ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine