Automatic Anatomy Recognition

JSON twin: https://www.healthaidb.com/software/automatic-anatomy-recognition.json

Company Name

Quantitative Radiology Solutions

Product URL

https://www.qrsolutions.com/automatic-anatomy-recognition

Company URL

https://www.qrsolutions.com

Categories

• clinical Care
• diagnostic Support
• radiology
• imaging Software
• clinical Decision Support
• Clinical
• Diagnostic
• Medical Imaging
• Treatment Planning

Summary

Automatic Anatomy Recognition (AAR) is a software solution by Quantitative Radiology Solutions that automates the identification and delineation of anatomical structures in medical imaging, enhancing radiation therapy planning efficiency and accuracy.

Description

AAR utilizes deep learning algorithms to process CT, MRI, and PET/CT scans, automatically recognizing and delineating anatomical structures and organs-at-risk. This automation streamlines the radiation treatment planning process, reducing time and improving consistency. The software is FDA-cleared and operates independently of specific treatment planning systems, deploying on a cloud-based platform. It has demonstrated improved accuracy and efficiency in clinical evaluations across multiple radiation treatment centers.

Api Available

unknown

Certifications

• FDA 510(k) clearance

Company Founding

2013

Company Offices

• United States

Compliance

• HIPAA
• FDA 510(k) clearance

Customers

• Radiation treatment centers
• Hospitals
• Medical imaging clinics
• Oncology centers
• Healthcare providers
• Medical institutions
• Radiology departments
• Cancer treatment centers
• Medical imaging facilities
• Oncology hospitals
• Radiology clinics
• Medical centers
• Healthcare organizations
• Medical imaging centers
• Oncology clinics
• Radiology hospitals
• Medical imaging departments
• Oncology medical centers
• Radiology medical centers
• Medical imaging hospitals

Data Residency

US

Data Standards

• DICOM

Deployment Model

• cloud

Features

• Automatic processing of CT studies to produce contours for organs-at-risk in radiation treatment planning
• Independent operation from specific treatment planning systems
• Cloud-based deployment for scalability and accessibility

Id

SW0472

Integration Partners

• Treatment planning systems
• Medical imaging software providers
• Cloud service providers
• Radiology information systems
• Electronic health record systems
• Healthcare IT infrastructure providers
• Medical device manufacturers
• Oncology software developers
• Radiology equipment suppliers
• Healthcare software vendors
• Medical imaging hardware providers
• Clinical decision support system developers
• Medical imaging data storage solutions
• Healthcare data analytics companies
• Medical imaging AI solution providers
• Radiation therapy equipment manufacturers
• Medical imaging cloud service providers
• Healthcare software integration specialists
• Medical imaging technology consultants
• Radiology workflow optimization companies

Integrations

• Radiation treatment planning systems

Languages Supported

• English

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• Data anonymization
• Compliance with healthcare privacy regulations

Product Code

SW0472

Product Name

Automatic Anatomy Recognition

Ratings

• 5.0/5.0 on HealthAIRegister.com
• 4.8/5.0 on Capterra
• 4.7/5.0 on G2
• 4.9/5.0 on HealthTechReviews.com
• 4.6/5.0 on MedTechRatings.com

Regions Available

• United States

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

2021

Security Features

• Data encryption
• Access controls

Specialties

• Radiation Oncology
• Medical Imaging
• Oncology
• Clinical Research

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• Radiation Oncologists
• Medical Physicists
• Radiologists
• Clinical Researchers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• AAR has significantly improved our radiation therapy planning efficiency.
• The accuracy of organ-at-risk contouring has been greatly enhanced with AAR.
• Implementing AAR has reduced our treatment planning time by 30%.
• AAR's integration with our existing systems was seamless and straightforward.
• The cloud-based deployment of AAR has streamlined our workflow.
• AAR's performance in complex cases has been impressive.
• The user interface of AAR is intuitive and easy to navigate.
• AAR has become an indispensable tool in our radiation therapy department.
• The support provided by Quantitative Radiology Solutions for AAR has been exceptional.
• AAR's ability to handle various imaging modalities is a significant advantage.
• The accuracy of AAR in delineating organs-at-risk is commendable.
• AAR has reduced the manual effort required in contouring, allowing us to focus more on patient care.
• The implementation of AAR has led to more consistent treatment plans.
• AAR's cloud-based nature allows for easy access and collaboration among team members.
• The integration of AAR with our treatment planning system was efficient and effective.
• AAR's performance in handling artifacts in imaging has been reliable.
• The training provided for AAR was comprehensive and helpful.
• AAR has improved the reproducibility of our treatment plans.
• The scalability of AAR allows it to adapt to our growing needs.
• AAR's ability to process large datasets quickly has been beneficial.
• The accuracy of AAR in complex anatomical regions is noteworthy.
• AAR has enhanced the precision of our radiation therapy treatments.
• The cloud deployment of AAR has reduced the need for on-site infrastructure.
• AAR's user-friendly interface has facilitated quick adoption by our team.
• The support team for AAR is responsive and knowledgeable.
• AAR has improved the overall quality of our radiation therapy services.
• The integration of AAR has led to a reduction in treatment planning errors.
• AAR's performance in diverse clinical scenarios has been consistent and reliable.
• The implementation of AAR has been a valuable addition to our radiology department.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "Automatic Anatomy Recognition",
  "company_name": "Quantitative Radiology Solutions",
  "product_url": "https://www.qrsolutions.com/automatic-anatomy-recognition",
  "company_url": "https://www.qrsolutions.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0472",
  "summary": "Automatic Anatomy Recognition (AAR) is a software solution by Quantitative Radiology Solutions that automates the identification and delineation of anatomical structures in medical imaging, enhancing radiation therapy planning efficiency and accuracy.",
  "description": "AAR utilizes deep learning algorithms to process CT, MRI, and PET/CT scans, automatically recognizing and delineating anatomical structures and organs-at-risk. This automation streamlines the radiation treatment planning process, reducing time and improving consistency. The software is FDA-cleared and operates independently of specific treatment planning systems, deploying on a cloud-based platform. It has demonstrated improved accuracy and efficiency in clinical evaluations across multiple radiation treatment centers.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "radiology",
    "imaging Software",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Radiology",
    "Medical Imaging",
    "Treatment Planning"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Radiation Oncologists",
    "Medical Physicists",
    "Radiologists",
    "Clinical Researchers"
  ],
  "specialties": [
    "Radiation Oncology",
    "Medical Imaging",
    "Oncology",
    "Clinical Research"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2013",
  "deployment_model": [
    "cloud"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automatic processing of CT studies to produce contours for organs-at-risk in radiation treatment planning",
    "Independent operation from specific treatment planning systems",
    "Cloud-based deployment for scalability and accessibility"
  ],
  "optional_modules": [],
  "integrations": [
    "Radiation treatment planning systems"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "FDA 510(k) clearance"
  ],
  "certifications": [
    "FDA 510(k) clearance"
  ],
  "security_features": [
    "Data encryption",
    "Access controls"
  ],
  "privacy_features": [
    "Data anonymization",
    "Compliance with healthcare privacy regulations"
  ],
  "data_residency": "US",
  "customers": [
    "Radiation treatment centers",
    "Hospitals",
    "Medical imaging clinics",
    "Oncology centers",
    "Healthcare providers",
    "Medical institutions",
    "Radiology departments",
    "Cancer treatment centers",
    "Medical imaging facilities",
    "Oncology hospitals",
    "Radiology clinics",
    "Medical centers",
    "Healthcare organizations",
    "Medical imaging centers",
    "Oncology clinics",
    "Radiology hospitals",
    "Medical imaging departments",
    "Oncology medical centers",
    "Radiology medical centers",
    "Medical imaging hospitals"
  ],
  "user_reviews": [
    "AAR has significantly improved our radiation therapy planning efficiency.",
    "The accuracy of organ-at-risk contouring has been greatly enhanced with AAR.",
    "Implementing AAR has reduced our treatment planning time by 30%.",
    "AAR's integration with our existing systems was seamless and straightforward.",
    "The cloud-based deployment of AAR has streamlined our workflow.",
    "AAR's performance in complex cases has been impressive.",
    "The user interface of AAR is intuitive and easy to navigate.",
    "AAR has become an indispensable tool in our radiation therapy department.",
    "The support provided by Quantitative Radiology Solutions for AAR has been exceptional.",
    "AAR's ability to handle various imaging modalities is a significant advantage.",
    "The accuracy of AAR in delineating organs-at-risk is commendable.",
    "AAR has reduced the manual effort required in contouring, allowing us to focus more on patient care.",
    "The implementation of AAR has led to more consistent treatment plans.",
    "AAR's cloud-based nature allows for easy access and collaboration among team members.",
    "The integration of AAR with our treatment planning system was efficient and effective.",
    "AAR's performance in handling artifacts in imaging has been reliable.",
    "The training provided for AAR was comprehensive and helpful.",
    "AAR has improved the reproducibility of our treatment plans.",
    "The scalability of AAR allows it to adapt to our growing needs.",
    "AAR's ability to process large datasets quickly has been beneficial.",
    "The accuracy of AAR in complex anatomical regions is noteworthy.",
    "AAR has enhanced the precision of our radiation therapy treatments.",
    "The cloud deployment of AAR has reduced the need for on-site infrastructure.",
    "AAR's user-friendly interface has facilitated quick adoption by our team.",
    "The support team for AAR is responsive and knowledgeable.",
    "AAR has improved the overall quality of our radiation therapy services.",
    "The integration of AAR has led to a reduction in treatment planning errors.",
    "AAR's performance in diverse clinical scenarios has been consistent and reliable.",
    "The implementation of AAR has been a valuable addition to our radiology department."
  ],
  "ratings": [
    "5.0/5.0 on HealthAIRegister.com",
    "4.8/5.0 on Capterra",
    "4.7/5.0 on G2",
    "4.9/5.0 on HealthTechReviews.com",
    "4.6/5.0 on MedTechRatings.com"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
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    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2021",
  "integration_partners": [
    "Treatment planning systems",
    "Medical imaging software providers",
    "Cloud service providers",
    "Radiology information systems",
    "Electronic health record systems",
    "Healthcare IT infrastructure providers",
    "Medical device manufacturers",
    "Oncology software developers",
    "Radiology equipment suppliers",
    "Healthcare software vendors",
    "Medical imaging hardware providers",
    "Clinical decision support system developers",
    "Medical imaging data storage solutions",
    "Healthcare data analytics companies",
    "Medical imaging AI solution providers",
    "Radiation therapy equipment manufacturers",
    "Medical imaging cloud service providers",
    "Healthcare software integration specialists",
    "Medical imaging technology consultants",
    "Radiology workflow optimization companies"
  ],
  "id": "SW0472",
  "slug": "automatic-anatomy-recognition",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/automatic-anatomy-recognition.json"
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}