# Raidium launches R.Read for oncology imaging, applies agentic AI to radiologists' workflow

> French startup Raidium is bringing R.Read to US oncology research centers, an AI-native imaging tool aimed at one of radiology's most tedious jobs: tracking cancer across many follow-up scans. The system does whole-body lesion detection and AI segmentation, and crucially it carries findings longitudinally from one study to the next, so a tumor measured in an earlier scan can be automatically matched and re-measured over time. Raidium describes it as a first demonstration of agentic AI applied to the radiology workflow. For radiologists in cancer trials, comparing scans across months of treatment is slow, repetitive and error-prone, and R.Read is pitched as a way to cut that burden. This is the kind of applied, unglamorous AI that rarely makes headlines but can have real clinical weight, quietly speeding up how researchers judge whether a therapy is working. It also signals how quickly specialized medical AI startups are moving from demos into the workflows of actual cancer centers.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: IT Non-Online · Published Saturday, July 18, 2026_

## Wortins' read

French startup Raidium is bringing R.Read to US oncology research centers, an AI-native imaging tool aimed at one of radiology's most tedious jobs: tracking cancer across many follow-up scans. The system does whole-body lesion detection and AI segmentation, and crucially it carries findings longitudinally from one study to the next, so a tumor measured in an earlier scan can be automatically matched and re-measured over time. Raidium describes it as a first demonstration of agentic AI applied to the radiology workflow. For radiologists in cancer trials, comparing scans across months of treatment is slow, repetitive and error-prone, and R.Read is pitched as a way to cut that burden. This is the kind of applied, unglamorous AI that rarely makes headlines but can have real clinical weight, quietly speeding up how researchers judge whether a therapy is working. It also signals how quickly specialized medical AI startups are moving from demos into the workflows of actual cancer centers.

## Source

[Read the full story at IT Non-Online](https://www.itnonline.com/content/raidium-introduces-ai-powered-oncology-imaging-workflow-us-cancer-centers)

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