AI-Rad Companion Chest CT
Siemens Healthineers
Information source:
Vendor
Last updated: September 4, 2024 |
General Information
General | |
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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) |
Technical Specifications
Data characteristics | |
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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 |
Regulatory
Certification | |
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CE |
Certified,
Class IIb
, MDR
|
FDA | 510(k) cleared , Class II |
Intended Use Statements | |
Intended use (according to CE) | AI-Rad Companion (Pulmonary) is intended to assist the physician in evaluating the lung. AI-Rad Companion (Cardiovascular) is intended to assist the physician in evaluating the heart and the aorta in non-cardiac chest CT. AI-Rad Companion (Musculoskeletal) performs segmentation, labeling and measurements of the vertebra bodies of the spine. |
Market
Market presence | |
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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
Evidence | |
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Peer reviewed papers on performance |
|
Non-peer reviewed papers on performance | |
Other relevant papers |