50k+
Oncological lesions in training
Model trained on more than 50,000 annotated oncological lesions from real-world data allowing it to generalize to other applications.
Automating the oncology imaging workflow
A universal, interactive radiology cockpit powered by built-in foundation models — from detection to a structured report for increased productivity, starting with oncology.
Designed to help radiologists move from a collection of narrow AI-solutions to a unified tool. Unlike traditional AI, our foundation models and agents understand the entire human anatomy.
Juggling narrow AI add‑ons that each solve only one task, exam type, or organ.
A single, promptable viewer that handles detection, segmentation and reporting across any workflow.
A single, promptable viewer that handles detection, segmentation and reporting across any workflow.
Each step is automated by Raidium's foundation models, inside the radiologist's existing PACS viewer.
Faster on lesion annotation
Measured speed-ups vs. manual workflow.
50k+
Model trained on more than 50,000 annotated oncological lesions from real-world data allowing it to generalize to other applications.
0.85 / 0.74
Oncopilot study, validated across brain, liver, lung, bone and more.
Fewer than 8% of cancer patients worldwide are enrolled in a clinical trial. Part of the problem is structural: no physician can manually verify more than thirty eligibility criteria per trial option for every patient. Raidium is our imaging backbone. Their models evaluate RECIST 1.1 at the level of a radiologist and automatically flag events that would disqualify a patient from a trial. No other team in Europe combines that model quality with the clinical depth needed to make this project, MA-MTB, work in a real hospital setting.
We are building toward a universal AI-native viewer that covers every radiology workflow.
Automated RECIST 1.1 measurement and follow-up, available today.
One cockpit covering every radiology specialty and workflow.
Every workflow improvement is built to give radiologists back time, without compromising on clinical rigor.
Our state‑of‑the‑art models deliver clinical‑grade results and reduce inter‑reader variability while being on‑par with radiologists.
By automating low‑value tasks, our workflow empowers radiologists to handle more cases and dedicate their expertise to complex interpretation.
One viewer for all your oncology imaging workflows, able to extend to additional specialties.
Facilitates good practices so more patients receive standard of care oncology follow-up, wherever they are.
Ready to transform your oncology workflow?