red dot Chest X-Ray

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: July 9, 2024

General Information

General
Product name	red dot Chest X-Ray
Company	Behold.ai
Subspeciality	Chest
Modality	X-ray
Disease targeted	Pneumothorax, lung cancer
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