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
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Nationwide real-world implementation of AI for cancer detection in population-based mammography screening
Nature Medicine · Jan 2025
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis
The Lancet Digital Health · Jun 2022
AI-based prevention of interval cancers in a national mammography screening program
European Journal of Radiology · Apr 2022
Technical Specifications
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Not specified
Population
Market Presence
On market since
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