Vendor source

Reviewed 11 May 2026

Completeness Good (56%)

Vara's Decision Referral Pathway ensures that each mammogram is analysed by AI and classified into one of three categories: "normal" (AI is confident there are no suspicious signs), "no classification" (AI is not confident about a classification), or "Safety Net" (AI is confident that it is highly suspicious). Vara pre-screens normal mammograms with very high confidence (pre-fills the report), allowing the reader to focus on potentially suspicious exams. Vara also post-screens mammograms with very high confidence for potentially missed exams (only triggered if the reader assigns BI-RADS <3).

Supported by 3 papers

Key Features

  • AI-based workflow
  • Report generation
  • Safety net
  • Triaging normal exams

General Information

Product name

Vara

Modality

Mammography

Main task

Not specified

Subspeciality

Breast

Disease targeted

Breast cancer

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

2D mammograms of a screening study incl. prior images and patient history

Input format

DICOM

Output

Draft radiology report, segmentation overlay, model score, triaging recommendation, cancer recommendation

Output format

HL7/XML/JSON, Proprietary viewer and worklist

Integration

Integration RIS (Radiological Information System), Stand-alone webbased

Deployment

Cloud-based

Trigger for analysis

Automatically, right after the image acquisition

Processing time

Not specified

Population

Women of screening age

Market Presence

On market since

10-2019

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Vendor | First published: Jun 23, 2022 | Last updated: May 11, 2026