TOMOSYNTHESIS
CE-marked (EU MDR Class IIb)
One AI report, extended across every level of your tomosynthesis data: synthetic 2D, slabs, and the complete 3D stack.
WHY TOMOSYNTHESIS AI
More detection, without more reading time
Tomosynthesis improves cancer detection, especially in dense breasts — but it multiplies the reading workload per exam. Programs already short on radiologists can't absorb that volume unsupported.
Vara's tomo AI works the way our mammography AI already does: it sits inside your existing PACS, reads as a concurrent or independent second reader, and adds no steps for the radiologist — helping programs hold reading quality at the volume they actually operate at.

CAD-SR
Vara shows you where to look
A region-of-interest marking points the radiologist straight to the finding — a focus map before scrolling through the 3D stack.
The marking gets more precise as more of the study is analysed: from the synthetic 2D view, to a slab, to the individual 3D slice being read.

ONE REPORT
Every level of your tomosynthesis study
Whether your site sends synthetic 2D, slabs, or the full 3D tomosynthesis stack — Vara analyses what is received and delivers the same structured AI report. With more slices, localisation becomes more precise.
The same Vara foundation, at every level
No new infrastructure required at the site
The same proven Vara report radiologists already trust
DEPLOYMENT
Cloud or on-premise
Vara's 3D analysis runs in the cloud by default — enabling real-time monitoring, automatic updates, and access to the most powerful GPU hardware without local procurement. For partnerships with strict data residency requirements, on-premise deployment is available: the same analysis running entirely on your infrastructure, with no data leaving the premises.
Cloud — Default
Vara runs in the cloud by default — minimal data to move for S2D, scaling up to the full stack, with monitoring and analytics included.
On-premise — For Partnerships
For partnerships where data cannot leave the premises, the full 3D solution can be deployed entirely on your own infrastructure — the same analysis, nothing leaves the site.
No new infrastructure required at the site
