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ProductsAI-Rad Companion Chest CT

Vendor source

Reviewed 14 Sept 2026

Completeness Strong (75%)

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.

Supported by 9 papers

AI-Rad Companion Chest CT
AI-Rad Companion Chest CT
AI-Rad Companion Chest CT
AI-Rad Companion Chest CT
AI-Rad Companion Chest CT
AI-Rad Companion Chest CT
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Key Features

  • Coronary artery calcification
  • Heart
  • Lung lesions
  • Lung lobes
  • Segmentation and volume quantification of lungs
  • Thoracic aorta
  • Thoracic vertebrae; density quantification of lungs and vertebrae.

General Information

Product name

AI-Rad Companion Chest CT

Modality

CT

Main task

Not specified

Subspeciality

Chest

Disease targeted

Lung cancer, pneumonia, osteoporosis, coronary artery disease

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

Repeatability of AI-quantified incidental findings on lung cancer screening CT scans in the NELSON trial

European Radiology · Jun 2026

Artificial intelligence-enabled cardiac volumetry for opportunistic screening of cardiomegaly on chest CT: clinical validation with echocardiography

Radiology Advances · Mar 2026

Quantitative assessment of lung opacities from CT of pulmonary artery imaging data in COVID-19 patients: artificial intelligence versus radiologist

BJR|Open · Apr 2025

Artificial intelligence for opportunistic osteoporosis screening with a Hounsfield Unit in chronic obstructive pulmonary disease patients

Journal of Clinical Densitometry · Feb 2025

Clinical application of convolutional neural network lung nodule detection software: An Australian quaternary hospital experience

Journal of Medical Imaging and Radiation Oncology · Aug 2024

The Potential Role of Artificial Intelligence in Lung Cancer Screening Using Low-Dose Computed Tomography

Diagnostics · Oct 2022

Opportunistic osteoporosis screening using chest CT with artificial intelligence

Osteoporosis International · Aug 2022

Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study

American Journal of Roentgenology · Jun 2022

Impact of Concurrent Use of Artificial Intelligence Tools on Radiologists Reading Time: A Prospective Feasibility Study

Academic Radiology · Nov 2021

Technical Specifications

Patient population age

Not specified

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

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

Processing time

1 - 10 minutes

Population

All chest CT

Market Presence

On market since

05-2019

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jun 30, 2024 | Last updated: Sep 14, 2026