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Raidium has developed a proprietary AI-native foundation model for radiology that delivers state-of-the-art performance in tumor segmentation and imaging biomarker analysis. The system achieves radiologist-level precision for RECIST 1.1 evaluations, automates lesion measurement at speeds up to 2,500 times faster than manual methods, and supports both clinical practice and research applications. Early results show strong potential for improving diagnostic accuracy and workflow efficiency in complex cases like metastatic cancer and NASH.
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