GE HealthCare and RadNet expand AI mammography partnership with new screening and review tools

GE HealthCare and RadNet's DeepHealth are expanding their mammography AI partnership to add cancer detection, density assessment, and a secondary review workflow. The deal also extends their collaboration internationally.

Categorized in: AI News Healthcare
Published on: Apr 18, 2026
GE HealthCare and RadNet expand AI mammography partnership with new screening and review tools

GE HealthCare and RadNet expand mammography AI partnership

GE HealthCare is broadening its collaboration with DeepHealth, a RadNet subsidiary, to integrate more AI tools into its mammography systems. The expanded partnership, announced Thursday at the Society of Breast Imaging Annual Symposium, adds a secondary review workflow for complex cases and several detection features to GE HealthCare's Pristina and Pristina Via mammography machines.

The companies began their initial partnership in 2024, combining GE HealthCare's Senographe Pristina system with DeepHealth's breast cancer screening workflow. The new agreement extends the relationship internationally and incorporates additional components of DeepHealth's software suite.

What's included in the expanded partnership

GE HealthCare will now offer several new applications across its mammography systems:

  • Automated cancer detection
  • Automated density assessment
  • AI-powered lesion localization and suspicion scoring
  • Secondary review workflow for flagging potential cases for expert review

The companies said these features work effectively across diverse patient populations and in cases of dense breast tissue.

Secondary review workflow targets international markets

The secondary review feature operates differently across regions. In the U.S., a second read is optional, but many European countries require double reading as standard practice. The AI-assisted secondary review workflow is currently available only in the U.S., where it flags potential cases and sends them to a radiologist for manual review.

This feature addresses a practical workflow need: identifying cases that may benefit from a second opinion without requiring manual triage by clinical staff.

For healthcare professionals implementing these systems, the expanded partnership represents broader access to AI for Healthcare tools that integrate directly into existing mammography workflows rather than operating as separate applications.


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