AI-Rad Companion (Cardiovascular)

by Siemens Medical Solutions U.  · Based in United States → — Providing multi-modality imaging decision support with AI-powered, augmented workflow solutions.
Cardiology Radiology

Contact vendor for pricing
Regulatory Status Disclosed

Overview

AI-Rad Companion (Cardiovascular) by Siemens Medical Solutions USA, Inc. is an AI-powered post-processing software assistant designed to support clinicians in evaluating the heart and thoracic aorta. It operates as a specialized module within the broader AI-Rad Companion Chest CT suite.

The tool is primarily designed for radiologists, cardiologists, and imaging technologists operating in hospital radiology departments, imaging centers, and clinical practices. It is intended to assist in the evaluation of adult patients undergoing non-cardiac chest computed tomography (CT) scans.

In a typical clinical workflow, the cloud-based software automatically processes incoming DICOM CT datasets. It performs automated segmentation, measurement, and quantification of cardiovascular structures without requiring manual intervention from the operator. Once the analysis is complete, the software generates structured findings and annotated images, which are routed directly back to the Picture Archiving and Communication System (PACS) or viewer for physician review and validation.

Notable capabilities of the Cardiovascular module include:

  • Coronary Artery Calcification: Automated detection and quantification of coronary calcium on non-cardiac chest CT scans.
  • Aortic Measurement: Automated segmentation and diameter measurement of the thoracic aorta.
  • Cardiac Volumetry: Automated segmentation and volume quantification of the heart to assist in assessing cardiomegaly.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automatic recognition and quantification of coronary calcium volume from CT images.
  • Automatic 3D overview and segmentation of the thoracic aorta.
  • Measurement of relevant aorta diameters based on medical guidelines and detected anatomical landmarks.
  • Threshold-based highlighting of enlarged aorta diameters.
  • Segmentation and volume measurement of the heart.
  • Automatic post-processing of imaging datasets using AI-powered algorithms.
  • Automatic generation of standardized, reproducible, and quantitative reports (DICOM SC format).
  • Seamless integration into existing clinical workflows and Picture Archiving and Communication Systems (PACS).
  • Cloud-based deployment via teamplay digital health platform with optional edge deployment.
  • Highlighting of potentially clinically relevant changes that might otherwise remain unnoticed.

Use Cases

  • Supporting radiologists in interpreting chest CT images for cardiovascular conditions.
  • Assessing coronary artery disease risk through automated coronary calcium scoring.
  • Evaluating aortic conditions, including potential aneurysms, through automated diameter measurements.
  • Increasing diagnostic precision and efficiency in cardiovascular imaging workflows.
  • Automating repetitive tasks in image post-processing and reporting to reduce workload.
  • Providing additional valuable clinical knowledge from routine non-cardiac chest CT studies.

What Physicians Need to Know

Cardiac CT/MRI Analysis
The AI-Rad Companion (Cardiovascular) module, part of the AI-Rad Companion Chest CT, provides automatic post-processing of CT imaging datasets. It performs segmentation and volume measurement of the heart, and segmentation of the aorta. It also measures maximum diameters of the thoracic aorta at typical landmarks and highlights enlarged diameters based on thresholds. The software is designed to analyze previously acquired Computed Tomography (CT) DICOM images, including non-cardiac chest CT data, to support the evaluation of cardiovascular diseases.
Heart Failure Risk Prediction
While not explicitly a 'risk prediction' tool, the AI-Rad Companion Chest CT automatically quantifies heart volume, which provides valuable clinical knowledge about cardiac conditions from routine chest CT studies. This information, along with coronary calcium quantification, can serve as input for heart failure risk assessment.
Coronary Artery Assessment
The tool automatically recognizes and quantifies the total calcium volume in the coronary arteries from CT images. This feature adds valuable cardiac condition information to routine Chest CT studies.
AHA/ACC Guideline Alignment
The AI-Rad Companion Chest CT includes the measurement of relevant aortic diameters based on medical guidelines and detected anatomical landmarks. It also supports the detection of nine anatomical landmarks as identified by American Heart Association (AHA) guidelines.
Real-Time Alert Capability
Once images are post-processed, the AI-Rad Companion automatically provides results of its analysis for review, confirmation, and potential inclusion in the final report. The 'Notifier' feature allows radiologists to review AI results independently of their current PACS system.
Physician Tip

Leverage AI-Rad Companion (Cardiovascular) to enhance the efficiency and precision of cardiovascular assessments from CT scans, particularly for quantifying coronary artery calcium and aortic measurements. Utilize the automated structured reports to streamline documentation and ensure standardized, reproducible results. Review the AI-generated findings, especially highlighted abnormalities, to gain additional insights from routine chest CTs that might otherwise be overlooked, thereby supporting diagnostic decision-making and potentially improving patient outcomes. Remember that the AI acts as an assistant, and physician review and confirmation of results remain crucial.

AI-Rad Companion extensions are deployed via the teamplay digital health platform, facilitating updates and integration of new offerings. The software is designed for seamless integration into existing clinical workflows, conforming to DICOM standards, and can make images and supporting information available automatically in the Picture Archiving and Communication System (PACS). It is a cloud-based solution that has been tested and validated for CT scanners from various manufacturers, including Siemens Healthineers, GE Healthcare, and Philips Healthcare.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Contact vendor for pricing
DeploymentCloud-based (via teamplay digital health platform) and Edge deployment
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The AI-Rad Companion (Cardiovascular) SW version VA20 received 510(k) clearance (K222360) on April 6, 2023, as an enhancement to the previously cleared device K183268. It is cleared as image processing software that provides quantitative and qualitative analysis from previously acquired Computed Tomography DICOM images to support qualified clinicians in the evaluation and assessment of cardiovascular diseases.

Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

Siemens Healthineers AI-Rad Companion (Cardiovascular) is an AI-powered image processing software designed to assist physicians in the quantitative and qualitative analysis of CT DICOM images for cardiovascular diseases. It aims to help radiologists and other medical professionals interpret images more quickly and accurately, especially given increasing workloads and staff shortages. The software has received FDA 510(k) clearance and has undergone rigorous clinical validation.

Overall: Positive

Strengths

  • Rapid and quantitative analysis of CT DICOM images for cardiovascular structures.
  • Automated segmentation, measurement of key anatomical landmarks, and standardized reporting.
  • Supports physicians in evaluating and assessing cardiovascular diseases, including coronary artery disease and aortic pathologies.
  • Reduces time spent on manual results documentation and integrates seamlessly into existing clinical workflows.
  • Trained on extensive datasets and validated for CT scanners from multiple manufacturers (Siemens Healthineers, GE Healthcare, Philips, and Toshiba/Canon).
  • Provides additional clinically relevant information that might otherwise go unnoticed.

Limitations

  • Pricing information is not readily available and requires contacting the vendor.
  • No public ratings or detailed user reviews found on platforms like G2 or Capterra.
  • Ethical and data privacy concerns related to AI in cardiology still need to be addressed.
  • Regulations are required for the safe and widespread use of AI in cardiology and medicine.
  • Does not perform Agatston scoring for coronary calcium quantification.
  • Limited information available from independent tech reviewers or Reddit discussions.

Based on reviews from: Vertex AI Search, Frontiers, Taylor & Francis Online, accessdata.fda.gov, PMC, Siemens Healthineers Academy, Scribd, DAIC, ResearchGate, Amsterdam UMC

Last updated: 2026-07-19

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Press & Coverage

Health AI Register
AI-Rad Companion Chest CT - Siemens Healthineers - Health AI Register
AI-Rad Companion (Cardiovascular) is intended to assist physicians in evaluating the heart and aorta in non-cardiac chest CT scans. It offers multiorgan functionalities including heart segmentation and calcium detection, and aorta segmentation and diameter measurements.
2026-05
accessdata.fda.gov
AI-Rad Companion (Cardiovascular) FDA 510(k) Clearance (K183268)
This FDA 510(k) clearance document details AI-Rad Companion (Cardiovascular) as image processing software for quantitative and qualitative analysis from CT DICOM images to support physicians in evaluating cardiovascular diseases. It provides segmentation and volume measurement of the heart, quantification of coronary artery calcium, and aorta segmentation and diameter measurements.
2019-09
AWS (Radiographers Journal)
Radiographers Journal - January 2025
AI-Rad Companion (Cardiovascular) is designed to work with various CT protocols, especially generic non-gated and non-contrast-enhanced Chest CT scans, to assess cardiovascular features. It aims to minimize workflow interruption and provide unbiased readings.
2025-01
Frontiers in Cardiovascular Medicine
Artificial intelligence in cardiology: Hope for the future and power for the present
This article discusses the role of AI in cardiology, mentioning AI-Rad Companion (Cardiovascular) by Siemens Medical Solutions USA, Inc. as image processing software for analyzing CT images to support physicians in cardiovascular disease evaluation.
2019-09
BMJ Health & Care Informatics
How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices
This analysis of FDA-approved medical devices highlights AI-Rad Companion (Cardiovascular) by Siemens Medical Solutions USA, Inc. as a 510(k) Premarket Notification device from 2019, demonstrating the integration of machine learning in clinical decision support.
2021-04
MDPI (Encyclopedia)
Artificial Intelligence in Translational Medicine
AI-Rad Companion (Cardiovascular) from Siemens Medical Solutions USA, Inc. is listed as a deep learning software used for detecting cardiovascular risks from CT images, with an FDA clearance in October 2019.
2021-11
Taylor & Francis Online
Artificial intelligence measuring the aortic diameter assist in identifying adverse blood pressure status including masked hypertension
This study utilized AI-Rad Companion Cardiovascular (FDA approved K183268) to perform automatic aorta measurements on thoracic CT images at nine key positions based on AHA guidelines, demonstrating its efficacy and usability.
2021-12
PMC (BMJ Health & Care Informatics)
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
This database of FDA-approved AI/ML-based medical technologies includes AI-Rad Companion (Cardiovascular) among the algorithms developed for radiology and cardiology, highlighting its role in image reading software.
2020-09

Videos

Product demos, reviews, and walkthroughs for AI-Rad Companion (Cardiovascular).

View all on YouTube

Frequently Asked Questions

AI-Rad Companion (Cardiovascular) seamlessly integrates into existing PACS and reporting workflows, providing automated post-processing of non-cardiac chest CT images. It offers insights such as coronary artery calcification quantification, heart volume measurements, and aortic segmentation with diameter measurements, generating standardized reports to assist physicians.
AI-Rad Companion (Cardiovascular) is FDA 510(k) cleared as a Class II medical device, intended to assist physicians in evaluating cardiovascular diseases from CT DICOM images. It conforms to Digital Imaging and Communications in Medicine (DICOM) standards and utilizes a certified, secure teamplay infrastructure.
While AI-Rad Companion (Cardiovascular) automates repetitive tasks and highlights potential abnormalities, it is an assistive tool and not a diagnostic replacement. Physicians must review, edit, and accept all generated results, as many evaluations are retrospective and vendor-funded, potentially limiting generalizability across diverse scanner fleets.
Several other companies offer AI solutions for cardiovascular imaging. These include HeartFlow FFRCT Analysis and Cleerly for coronary artery disease assessment, Viz LVO for large vessel occlusion detection, and Arterys for cardiac MRI analysis.
The AI-Rad Companion platform generally follows a subscription-based pricing model, often based on the number of analyses performed. Specific pricing details would require direct consultation with Siemens Healthineers.
AI-Rad Companion (Cardiovascular) is a cloud-based solution that utilizes certified, secure teamplay infrastructure for data processing and storage. It also offers an edge deployment option where clinical data processing occurs within the customer's environment, while remaining connected to the cloud for monitoring and maintenance.
Clinical data-based software validation has demonstrated equivalent performance compared to predicate devices, with high DICE coefficients for segmentation tasks. For instance, heart segmentation scores approach a 0.93 DICE coefficient, supporting reliable cardiac morphology tracking.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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