Al-Rad Companion (Pulmonary)

by Siemens Medical Solutions USA  · Based in United States → — AI-powered augmented workflow solutions for enhanced diagnostic precision in medical imaging.
Oncology Pulmonology Radiology
Website
Claim this tool
Is this the maker? Claim the company →

Contact for pricing
Regulatory Status Disclosed

Overview

AI-Rad Companion (Pulmonary) is image processing software that provides quantitative and qualitative analysis from previously acquired Computed Tomography (CT) DICOM images. It is designed to support radiologists and physicians from emergency medicine, specialty care, urgent care, and general practice in the evaluation and assessment of diseases of the lungs.

As part of the AI-Rad Companion family, this solution aims to reduce the burden of basic repetitive tasks and may increase diagnostic precision when interpreting medical images. It offers automatic post-processing of imaging datasets through AI-powered algorithms, automating routine workflows with repetitive tasks and high volumes to ease daily workflow, allowing clinicians to focus on more critical issues.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Quantitative and qualitative analysis from CT DICOM images
  • AI-powered algorithms for automatic post-processing
  • Detection and highlighting of lung nodules
  • Calculation of volume, 2D/3D diameter, and tumor burden for lung nodules
  • Quantification of hyperdense areas of the lung (Pulmonary Density)
  • Opacity score to assess percentage of affected lung tissue
  • Automated segmentation of lung lobes
  • Automated measurements and DICOM structured reports
  • Supports data from Siemens Healthineers, GE Healthcare, and Philips CT scanners
  • Basic post-processing functions: landmark detection, segmentation, and classification

Use Cases

  • Evaluation and assessment of lung diseases
  • Supporting radiologists and physicians in interpreting thoracic images
  • Reducing repetitive tasks in image interpretation workflow
  • Automated generation of standardized and quantitative reports
  • Identifying and quantifying pulmonary lesions, consolidation, atelectasis, pneumothorax, and pleural effusion
  • Improving diagnostic precision and speeding up workflow

What Physicians Need to Know

DICOM Support & Standards
Supports DICOM GSPS, DICOM SC, and DICOM SR (TID 5000 format). The system is designed for seamless integration and is fully DICOM compliant.
PACS Integration Method
Integrates into standard reading environments (PACS), via AI marketplaces or distribution platforms, and can function as a stand-alone web-based or hybrid solution. It supports full integration into the image interpretation workflow, including automated measurements and DICOM structured reports. The AI-Rad Companion with Notifier allows radiologists to review AI results independently of PACS limitations.
Reading Room Workflow Impact
Designed to increase precision and speed, helping to manage daily workload by automating repetitive tasks like measurements and structured reporting. It highlights abnormalities and segments anatomies. Studies on AI-assisted chest CT interpretation showed a mean reduction in interpretation times of 22.1% (from 421 to 328 seconds). It serves as a diagnostic aid for concurrent reading with original images.
AI Model Architecture (deep learning approach)
Utilizes machine learning and deep learning algorithms. These algorithms are trained on extensive clinical datasets and annotated by qualified clinical specialists.
FDA Clearance Pathway (510k/De Novo)
Cleared by the FDA via the 510(k) pathway as a Class II medical device. The 'Pulmonary' module (K183271) was initially cleared as part of the AI-Rad Companion Chest CT. Subsequent versions and enhancements have also received 510(k) clearances (e.g., K213096, K213713, VA40).
Supported Modalities
The 'AI-Rad Companion (Pulmonary)' specifically processes previously acquired **Computed Tomography (CT)** DICOM images. The broader AI-Rad Companion family also includes solutions for X-ray (e.g., AI-Rad Companion Chest X-ray) and MRI.
Sensitivity & Specificity Data
For **CT (AI-Rad Companion Pulmonary)**: Sensitivity of 94.3% and average PPV of 99.1% for identifying lesion pairs in an evaluation of 200 cases. Average DICE coefficients for lung lobe segmentation ranged from 0.94 to 0.96.nnFor **Chest X-ray (AI-Rad Companion Chest X-ray)**, which also addresses pulmonary findings: AUC of 95u201399% for target radiographic findings. Sensitivity for pulmonary lesions was 85.5% (vs. 35.5% for readers), for pleural effusion 95.7% (vs. 83.4% for readers, AUC 99.4% vs. 88.8%), for pneumothorax 78.7% (vs. 30% for readers) with 97% specificity (vs. 99.7% for readers). Improved AUC and sensitivity for consolidation and atelectasis compared to readers.
RSNA/ACR Validation
The AI-Rad Companion Chest CT was presented at the 2018 Radiological Society of North America (RSNA) annual meeting. The algorithms are trained, tested, and validated against substantial datasets. Multi-case multi-reader studies have been conducted to compare AI-Rad Companion Chest X-ray performance against board-certified radiologists.
Physician Tip

AI-Rad Companion (Pulmonary) is a valuable diagnostic aid for radiologists and other qualified medical professionals interpreting CT images of the lungs. Leverage its automated segmentation, measurement, and abnormality highlighting features to enhance efficiency and potentially improve diagnostic precision, particularly for lung lesions, opacity quantification, and follow-up. Remember that it is an adjunct tool and should be used concurrently with original images, not as a replacement for professional judgment. Pay attention to the AI confidence scores and integrate the structured reports into your workflow for standardized documentation.

The AI-Rad Companion platform, including the Pulmonary module, is deployed via the teamplay digital health platform, facilitating regular updates and integration of new offerings. It is designed for seamless integration into existing clinical workflows and PACS, supporting DICOM standards for image and report exchange. The system can be deployed as a hybrid solution, with processing performed on-premises within the customer network while maintaining cloud connectivity for monitoring and maintenance.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing — N/A
DeploymentHybrid (Edge and Cloud-based)
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

AI-Rad Companion (Pulmonary) received FDA 510(k) clearance (K213096) on December 6, 2021. It is classified as a Class II medical device under regulation 21 CFR 892.1750 (Computed tomography x-ray system).
Integrations
EHR Not specified
Specialties Oncology, Pulmonology, Radiology

What the Web Says

Al-Rad Companion (Pulmonary) by Siemens Healthineers is an AI-powered image processing software designed to assist radiologists and physicians in evaluating and assessing lung diseases from CT/CTA DICOM images. It provides quantitative and qualitative analysis, including segmentation and measurements of lung and lung lobes, and identification of areas with lower Hounsfield values. The software has received FDA clearance and has been validated using datasets from multiple sites across the US and Europe.

Overall: Positive

Strengths

  • Provides quantitative and qualitative analysis of lung CT/CTA images.
  • Supports radiologists and physicians in evaluating lung diseases.
  • Offers segmentation and measurements of complete lung and lung lobes.
  • Identifies areas with lower Hounsfield values.
  • FDA-cleared medical device.
  • Validated with data from Siemens Healthineers, GE Healthcare, and Philips CT systems.

Limitations

  • Intended as an adjunct tool, not a replacement for qualified medical professionals.
  • Not designed to detect radiographic findings other than a prespecified list.
  • Requires images of patients 22 years and older.
  • Limited information available from independent physician reviews or public forums like Reddit, G2, or Capterra.
  • Specific details on user experience and integration challenges are not readily available.
  • Potential for a learning curve for healthcare professionals unfamiliar with CT image post-processing.

Based on reviews from: FDA, Vertex AI Search, Scribd

Last updated: 2026-07-20

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate Al-Rad Companion (Pulmonary)

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

accessdata.fda.gov (FDA 510(k) Premarket Notification)
K233753 - Al-Rad Companion (Pulmonary)
This regulatory announcement details the FDA clearance of AI-Rad Companion (Pulmonary) SW version VA40, an enhancement to the previously cleared device, providing quantitative and qualitative analysis from CT DICOM images for lung disease evaluation. The software utilizes machine and deep learning algorithms and is intended for patients 22 years and older.
2024-03
accessdata.fda.gov (FDA 510(k) Premarket Notification)
K213713 - Al-Rad Companion (Pulmonary)
This FDA 510(k) premarket notification describes the AI-Rad Companion (Pulmonary) VA13, an image processing software that uses machine learning and deep learning algorithms for quantitative and qualitative analysis of CT DICOM images to assist clinicians in evaluating thoracic diseases. It builds upon the AI-Rad Companion Engine and the teamplay digital platform.
2021-12
accessdata.fda.gov (FDA 510(k) Premarket Notification)
syngo. CT Extended Functionalities (K203699) u2014 FDA 510(k)
This document references AI-Rad Companion (Pulmonary) (K183271) in the context of syngo.CT Extended Functionalities, indicating its earlier regulatory clearance and integration within Siemens Healthineers' broader CT imaging solutions.
unknown
Slideshare
u667au6167u533bu7597u65b0u8d5bu9053AIu8d4bu80fdu65b0u573au666f - Slideshare
This presentation, titled 'Smart Healthcare New Track AI Empowers New Scenarios,' mentions Al-Rad Companion (Pulmonary) from Siemens Medical Solutions USA, Inc. as a CT image reconstruction software cleared in July 2019 (K183271), highlighting its role in the evolving landscape of AI in healthcare.
2021-07

Videos

Product demos, reviews, and walkthroughs for Al-Rad Companion (Pulmonary).

View all on YouTube

Frequently Asked Questions

Al-Rad Companion (Pulmonary) is designed for seamless integration with most standard PACS and EMR systems, often through APIs or dedicated connectors. The learning curve is generally minimal, with intuitive interfaces and training resources provided to help physicians quickly adapt to its features and interpret its findings.
Al-Rad Companion (Pulmonary) holds relevant regulatory approvals, such as FDA clearance in the US and CE Mark in Europe, ensuring its safety and efficacy for clinical use. It employs robust encryption, access controls, and de-identification protocols to maintain strict HIPAA compliance and protect patient data privacy.
Several AI solutions exist for pulmonary imaging, often focusing on specific tasks like nodule detection or quantification. Al-Rad Companion (Pulmonary) differentiates itself through its comprehensive suite of analytical tools, advanced deep learning algorithms, and potentially superior accuracy or broader scope of application compared to competitors.
Pricing for Al-Rad Companion (Pulmonary) typically follows a subscription-based model, which may vary based on usage volume or features. While direct reimbursement codes for AI are evolving, the system aims to demonstrate cost-effectiveness through improved diagnostic efficiency, reduced turnaround times, and potentially better patient outcomes.
Like all AI tools, Al-Rad Companion (Pulmonary) has limitations, including potential for false positives or negatives in challenging cases or with atypical presentations. It is intended as a decision support tool, not a standalone diagnostic, and its performance may vary based on image quality and specific disease prevalence.
Ethical considerations are paramount in Al-Rad Companion (Pulmonary)'s design, with efforts made to mitigate algorithmic bias through diverse training data and rigorous validation. The system is designed to augment, not replace, physician judgment, promoting responsible use and preventing over-reliance on AI outputs.
Implementing Al-Rad Companion (Pulmonary) generally requires a stable network connection and sufficient server capacity, which can be on-premise or cloud-based. Minimal ongoing IT support is typically needed for maintenance and updates, as the vendor often provides comprehensive technical assistance and monitoring.

Compare Al-Rad Companion (Pulmonary)

VS
a2z-Unified-Triage vs Al-Rad Companion (Pulmonary)
Radiology & Imaging AI Adjacent · 60/100
Tool A, a2z-Unified-Triage, is designed for rapid identification and prioritization of seven urgent findings in abdomen-pelvis CT scans, focusing on workflow efficiency in emergency settings. In contrast, Tool…
VS
QuickRad vs Al-Rad Companion (Pulmonary)
Radiology & Imaging AI Adjacent · 65/100
QuickRad is a comprehensive, AI-integrated PACS and RIS system designed to optimize overall radiology workflows, offering tools for image storage, viewing, reporting, and analytics across various modalities. In…
VS
D2P vs Al-Rad Companion (Pulmonary)
Radiology & Imaging AI Adjacent · 65/100
While both tools are FDA-cleared AI-powered solutions for medical imaging analysis, D2P focuses on converting 2D DICOM data into 3D models for visualization, surgical planning, and 3D printing.…

Related Tools

Surgical Reality Viewer
Surgical Reality
Oncology AI
Surgical Reality offers CE- and FDA-certified AI-powered 3D medical imaging and surgical planning software that transforms CT scans into patient-specific 3D models for thoracic surgery, enhancing precision in complex lung procedures.
Oxipit ChestLink
Oxipit (part of Sectra group)
Clinical Decision Support & Reference
Oxipit ChestLink is the world's first CE Class IIb-certified autonomous AI application for healthy chest X-ray reporting, capable of identifying normal studies with 99.9% sensitivity. It automates the reporting of normal chest X-rays, reducing radiologist workload and improving efficiency.
Cercare Medical Oncology Virtual Expert
Cercare Medical
Neurology AI
Cercare Medical's Oncology Virtual Expert is an AI-powered brain tumor segmentation module that provides fast, consistent, and semi-automated tumor analysis from standard MRI data, designed for on-premise deployment within existing clinical radiology workflows.
CARPL.ai
CARPL.ai
Developer Tools & APIs
CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. It provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows.
CoLumbo C-Spine
Smart Soft Healthcare AD
Clinical Decision Support & Reference
CoLumbo C-Spine is an AI-powered software that processes and analyzes cervical spine MRI exams, assisting clinicians in diagnosis and assessment.
SubtleHD-CT
Subtle Medical, Inc.
Radiology & Imaging AI
Subtle Medical's SubtleHD-CT is an AI software designed to enhance the quality and resolution of CT scans, reducing noise and improving image clarity. [7]

See all Radiology & Imaging AI tools →

More from Siemens Medical Solutions USA

ACUSON Sequoia Diagnostic Ultrasound System
Siemens Medical Solutions USA
Radiology & Imaging AI
The ACUSON Sequoia Diagnostic Ultrasound System by Siemens Healthineers is a premium platform featuring BioAcoustic imaging, InFocus technology, and AI-powered tools to deliver consistent, high-resolution ultrasound imaging across diverse patient types and clinical applications.
Contact vendor for pricing.
AI Rad Companion (Engine)
Siemens Medical Solutions USA
Radiology & Imaging AI
Siemens AI-Rad Companion (Engine) is an FDA-cleared, AI-powered, cloud-based platform that streamlines radiology workflows and enhances diagnostic precision through automated image post-processing and structured reporting across multiple modalities.
Contact for pricing
AI-Rad Companion (Musculoskeletal)
Siemens Medical Solutions USA
Radiology & Imaging AI
AI-Rad Companion (Musculoskeletal) by Siemens Medical Solutions USA is an FDA-cleared AI-powered image processing software for quantitative and qualitative analysis of musculoskeletal conditions from CT DICOM images, supporting radiologists and physicians in diagnostic evaluation.
Contact vendor for details
AI-Rad Companion Engine
Siemens Medical Solutions USA
Radiology & Imaging AI
The AI-Rad Companion Engine is an AI-powered, cloud-based platform by Siemens Medical Solutions USA that automates post-processing and enhances diagnostic precision in medical image interpretation across multiple modalities.
Contact vendor

View company profile →

Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
AI Tool Finder
AI-powered search. Results may not be comprehensive.