Raidium Introduces AI Imaging Platform for U.S. Cancer Centers

July 17, 2026
Raidium has launched its AI imaging platform, Raidium Read, at U.S. cancer centers. The tool, already in use at Moffitt Cancer Center, streamlines oncology imaging workflows by integrating lesion detection, segmentation, and tracking within a single interface.

Raidium announced in a press release the U.S. launch of its AI imaging platform, Raidium Read. The tool is designed to improve oncology imaging workflows by combining multiple radiology functions in one interface. It is already deployed at Moffitt Cancer Center, where it replaces a legacy radiomics solution.

The Raidium Read platform supports whole body lesion detection, AI segmentation models, and lesion tracking across follow up and prior studies. It is initially available for use in oncology research and clinical trials, pending regulatory clearance for routine clinical use.

According to Raidium, the system reduces manual workload, improves consistency in image interpretation, and facilitates collaboration between radiologists and clinicians. The company is pursuing 510(k) clearance for selected features and expects to complete this process by the end of 2026. Cancer centers can register for access through the company's invitation program.

Raidium operates from Paris and Silicon Valley, focusing on integrating foundation models with unified clinical viewers for radiology applications.

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