Red Dot

Behold.ai
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.
Information source: Public
Last updated: March 20, 2020

General Information

General
Product name Red Dot
Company Behold.ai
Subspeciality Chest
Modality X-ray
Disease targeted Pneumothorax
Key-features Abnormality detection, explaining heatmaps, worklist prioritization
Suggested use

Technical Specifications

Data characteristics
Population
Input
Input format
Output
Output format
Technology
Integration
Deployment
Trigger for analysis
Processing time

Regulatory

Certification
CE
Certified, Class IIa , MDD
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since 04-2020
Distribution channels Wellbeing Software
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Based on

Evidence

Evidence
Peer reviewed papers on performance

  • Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance (read)

Non-peer reviewed papers on performance
Other relevant papers