Carina AI
Medical-imaging AI software for clinical research and radiation oncology. Five on-premise products, two FDA-cleared. Used at Mayo Clinic, Johns Hopkins, Penn, Duke, UVA, Emory, and more.
Where Carina AI ranks
Current edition · updated Oct 20, 2026About Carina AI
Medical-imaging AI software for clinical research and radiation oncology. Five on-premise products, two FDA-cleared. Used at Mayo Clinic, Johns Hopkins, Penn, Duke, UVA, Emory, and more.
Products
FDA 510(k)-cleared (K212274) AI auto-contouring platform for organ-at-risk and target segmentation in radiation oncology, covering over 120 structures across CT, MRI, and PET/CT...
Automatic ventricle segmentation and quantitative volumetric measurement to support diagnosis and management of hydrocephalus and shunt malfunction.
On-premise multimodal data-curation platform for clinical research.
FDA 510(k)-cleared (K213137) Monte Carlo 3-D independent dose verification.
What customers say
- INTContour
Mayo Clinic Arizona retrained INTContour on 100 local prostate cases involving rectal spacers and balloons. Carina AI reports that blinded evaluation on 115 test cases rated AI contours at least as highly as manual…
Case study - CuratAI
The University of Pennsylvania compared CuratAI's deidentifier with three other defacing methods using imaging from 185 patients. Carina AI reports balanced privacy protection and preservation of organ volumes, while…
Case study
Security and compliance
As reported by Carina AI. Ask for audit reports before you buy.
- FDA 510(k) - INTContourCompliant
- FDA 510(k) - INTDoseCompliant
- On-premise by default — every product installs inside the institution's network; no cloud component carries PHI
- No outbound PHI — no telemetry, no auto-update over the internet, no patient data crosses the firewall
- Audit-ready — every transformation is logged; re-identification linking files stay on customer storage
- Software delivered to local computers with no retained remote access unless requested
- Locally installed products collect no data without user acknowledgement or permissions
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