ViewFinder · 3D mammography AI

Detection finds suspicion.
ViewFinder finds the match.

Detection AI asks “is there cancer?” ViewFinder answers “where is it in the other view?” by matching tissue between CC and MLO views of a 3D mammogram.

FDA-cleared · 510(k) K223501
Three-panel retrospective case showing suspicious tissue, the manual match, and the correlate placed by ViewFinder
(a) Suspicious tissue on the side view. (b) The incorrect manual match, agreed by consensus by three consultant radiologists. (c) The correct match identified by ViewFinder. The patient presented seven months later with stage 4 breast cancer. ViewFinder was applied retrospectively and did not influence this patient's care.

A different AI question

The correlate is the clinical problem.

DBT gives radiologists depth, but matching the same tissue between non-orthogonal views remains a demanding mental task. ViewFinder supports that correlation while leaving detection and interpretation with the reader.

Detection AI asks

“Is there cancer?”

Identifies or scores suspicious findings.

ViewFinder asks

“Where is it in the other view?”

Dynamically maps corresponding tissue between CC and MLO DBT views, complementing CAD.

Peer-reviewed evidence

Localization changes when the views connect.

A multicentre reader study published in the European Journal of Radiology evaluated dynamic AI-assisted ipsilateral tissue matching in DBT.

Without ViewFinder

≈17mm

Localization error for abnormal findings in early-career breast imagers.

With ViewFinder

≈9mm

The same error measure with AI-assisted tissue matching.

Clinical context

≈13mm

Median size of screen-detected tumours reported in the study context.

Supporting clinical cases

Further ultrasound-targeting examples.

ECR 2026 educational exhibit

Reader response

92% would use Elaitra in practice.

“More accurate and more efficient in finding the lesion.”
“It’s a no brainer that it’s useful.”
“It quickens things up.”
“It’s gorgeous!”

For radiologists

See ViewFinder on live cases.

Sign up, log in, explore cases with ViewFinder, then upload your own case to see tissue matching in your workflow.

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