AI-Rad Companion Chest CT

Siemens Healthineers

The AI-Rad Companion Chest CT solution offers a multiorgan approach with pulmonary, cardiovascular and musculoskeletal functionalities. Major functionalities: lung lobe segmentation, lung lesion detection (solid and sub-solid) and measurements (incl. longitudinal comparison), pneumonia analysis, heart segmentation and calcium detection, aorta segmentation and diameter measurements, as well as vertebra body segmentation and measurement.

Product specifications

Information source: Vendor
Last updated: July 19, 2023

General
Product name	AI-Rad Companion Chest CT
Company	Siemens Healthineers
Subspeciality	Chest
Modality	CT
Disease targeted	Lung cancer, pneumonia, osteoporosis, coronary artery disease
Key-features	Segmentation and volume quantification of lungs, lung lobes, lung lesions, heart, thoracic aorta, coronary artery calcification, thoracic vertebrae; density quantification of lungs and vertebrae.
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population	All chest CT
Input	Standardized CT Data, Slice thickness: ≤ 3mm, Axial Images and no gantry tilt, matrix size: 512 x 512, reconstruction kernel: Soft to medium, minimum of 3 slices
Input format	DICOM
Output	Image annotations, 3D Visualizations, Report with table of findings
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment	Hybrid solution
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	1 - 10 minutes
Certification
CE	Certified, Class IIa , MDR
FDA	510(k) cleared, Class II
Market presence
On market since	05-2019
Distribution channels	Teamplay Digital Health Platform
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of analyses
Evidence
Peer reviewed papers on performance	Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study (read) Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility Study. (read)
Non-peer reviewed papers on performance
Other relevant papers	Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT (read)