Public source
Reviewed 11 May 2026
Completeness Good (42%)
The red dot® algorithm is based on deep learning models. The training process teaches the algorithm to both classify a CXR and localize its findings. This localization is rendered through heatmaps and allows to understand and interpret red dot® output.
From January 2025 Behold.ai has seized its operations
Supported by 1 paper
Key features
Abnormality detection
Explaining heatmaps
Worklist prioritization
General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDD
Class:
Class IIa
Not verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Technical Specifications
Patient population age
Not specified
Input
Not specified
Input format
Not specified
Output
Not specified
Output format
Not specified
Integration
Not specified
Deployment
Not specified
Trigger for analysis
Not specified
Processing time
Not specified
Population
Not specified
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: Public | First published: Jul 9, 2024 | Last updated: May 11, 2026