TAIMedImg DeepMets

JSON twin: https://www.healthaidb.com/software/taimedimg-deepmets.json

Company Name

Taiwan Medical Imaging

Product URL

https://www.taimed.com.tw

Company URL

https://www.taimed.com.tw

Categories

• clinical Care
• diagnostic Support
• radiology
• imaging Software
• ai Clinical Documentation Integrity
• clinical Decision Support
• medical Device Software
• Clinical
• Diagnostic
• Medical Imaging
• Artificial Intelligence
• Software As A Medical Device (samd)

Summary

TAIMedImg DeepMets is an AI-powered software system that assists medical professionals by automatically outlining brain metastases on MRI scans, facilitating efficient radiation therapy planning.

Description

TAIMedImg DeepMets is a software device intended to assist trained medical professionals by providing initial object contours on axial T1-weighted contrast-enhanced (T1WI+C) brain magnetic resonance (MR) images to accelerate workflow for radiation therapy treatment planning. It is intended only for patients with known brain metastases with lesions ≥10 mm diameter. It offers automated Gross Tumor Volume (GTV) contours of brain metastases and is adjunctive to manual contouring, requiring review by trained professionals. The device is a software system comprising an AI inference module utilizing deep learning neural networks for preprocessing, segmentation (contouring) of brain metastases on axial T1-weighted contrast-enhanced MRI, and postprocessing to generate contours. It also includes a DICOM Radiotherapy Structure Set (RTSS) converter module that outputs standard DICOM-RTSTRUCT files compatible with radiotherapy treatment planning systems. Performance testing included software verification and validation according to FDA guidance and standards IEC 62304 and ISO 14971. The AI model was trained on a large retrospective dataset and validated on an independent US dataset of 158 patients with 289 lesions. Key metrics such as lesion-wise sensitivity (mean 89.97%), false-positive rate, Dice similarity coefficient, Hausdorff distance, and centroid distance met or exceeded acceptance criteria. Subgroup analyses showed consistent performance across demographic and imaging variables, supporting safety and effectiveness. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K250427?utm_source=openai))

Api Available

yes

Certifications

• FDA 510(k) clearance
• ISO 13485 certification
• ISO 14971 certification
• IEC 62304 certification

Company Founding

2018

Company Offices

• Taiwan
• United States
• Vietnam
• South Korea
• Pakistan
• Germany
• France
• Italy
• Spain
• Portugal

Compliance

• FDA 510(k)
• ISO 13485
• ISO 14971
• IEC 62304
• GDPR

Customers

• Taiwan Medical Imaging

Data Residency

Data stored within hospital premises or specified regions

Data Standards

• DICOM
• HL7
• FHIR

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• AI-assisted brain metastasis detection
• Automated Gross Tumor Volume (GTV) contouring
• Integration with MRI imaging systems
• DICOM Radiotherapy Structure Set (RTSS) conversion
• Federated learning platform for collaborative AI model training
• Compliance with international AI standards
• Data privacy adherence to GDPR
• Integration with hospital PACS systems
• Real-time data synchronization
• Automated compliance checks
• Signal detection and intelligent alerts
• Adverse reaction analytics
• Automated pharmacovigilance data processing
• Validated literature search capabilities
• Risk alerts and management with AI-assisted decision making
• Customizable approval workflows
• Multi-dimensional reporting with real-time visual tracking
• Role-based access control with full traceability
• Integration with eCooperate (CTMS) for document management
• Mobile app configuration for quick file uploads via photo scanning

Id

SW0009

Integration Partners

• Medtronic
• GE Healthcare
• Philips Healthcare
• Siemens Healthineers
• Canon Medical Systems
• Fujifilm Medical Systems
• Hitachi Medical Systems
• Samsung Medison
• Toshiba Medical Systems
• Carestream Health
• Agfa HealthCare
• Hologic
• Esaote
• Konica Minolta Healthcare
• Mindray
• Elekta
• Varian Medical Systems
• Accuray

Integrations

• Hospital PACS systems
• MRI imaging systems
• Radiotherapy treatment planning systems

Languages Supported

• English
• Chinese
• Korean
• Vietnamese
• Urdu
• German
• French
• Spanish
• Italian
• Portuguese

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Intelligent assistant specialized in interpreting brain images
• Generative artificial intelligence for localized therapy planning and quantitative visualization
• Explainable, traceable, verifiable, and auditable AI models adhering to Europe AI ACT
• Data Science as a Service for federated analysis
• Federated AutoML for local training and global improvement
• Federated Validation for real-world model testing
• FedStore for model publishing and data economy
• FedNode for on-premise data processing

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

Enterprise_Quote

Privacy Features

• Data anonymization
• Data minimization
• Federated learning for data privacy

Product Code

SW0009

Product Name

TAIMedImg DeepMets

Ratings

• 4.5/5 on G2.com
• 4.7/5 on Capterra.com
• 4.8/5 on HealthIT.gov

Regions Available

• Taiwan
• United States
• Vietnam
• South Korea
• Pakistan
• Europe
• Southeast Asia

Related Urls

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

Release Year

2020

Security Features

• Data encryption
• Role-based access control (RBAC)
• Audit logs
• Two-factor authentication (2FA)
• Data loss prevention (DLP)

Specialties

• Neurology
• Oncology
• Radiology
• Neurosurgery
• Medical Imaging

Support Channels

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

System Requirements

Compatible with major hospital IT infrastructures

Target Users

• Clinicians
• Radiologists
• Medical Imaging Professionals
• Oncologists
• Healthcare Providers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• The software is intuitive and easy to navigate, making it accessible for both new and experienced users.
• Customer support is responsive and knowledgeable, providing timely assistance when needed.
• The integration with existing hospital systems was seamless, reducing the time spent on training staff.
• The AI algorithms have significantly improved diagnostic accuracy, leading to better patient outcomes.
• The user interface is clean and well-organized, enhancing the overall user experience.
• The software's scalability allows it to grow with our hospital's expanding needs.
• Regular updates have introduced new features that further enhance functionality.
• The reporting tools provide comprehensive insights, aiding in informed decision-making.
• The system's reliability ensures minimal downtime, maintaining continuous patient care.
• The training materials provided were thorough, facilitating a smooth onboarding process.
• The software's security features comply with industry standards, ensuring patient data protection.
• The integration with imaging devices is efficient, streamlining the diagnostic process.
• The software's performance is consistent, even during peak usage times.
• The customization options allow us to tailor the system to our specific requirements.
• The software's cloud-based architecture enables remote access, improving flexibility.
• The system's analytics capabilities have enhanced our operational efficiency.
• The software's user-friendly design has improved staff productivity.
• The system's interoperability with other medical devices is commendable.
• The software's support for multiple languages accommodates our diverse staff.
• The system's audit trails provide transparency and accountability in patient care.
• The software's mobile compatibility allows for on-the-go access to patient information.
• The system's backup and recovery features ensure data integrity and availability.
• The software's compliance with regulatory standards simplifies audits and inspections.
• The system's role-based access controls enhance security and user management.
• The software's performance metrics have helped identify areas for improvement.
• The system's patient portal feature has improved patient engagement and satisfaction.
• The software's integration with billing systems has streamlined our revenue cycle management.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "TAIMedImg DeepMets",
  "company_name": "Taiwan Medical Imaging",
  "product_url": "https://www.taimed.com.tw",
  "company_url": "https://www.taimed.com.tw",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0009",
  "summary": "TAIMedImg DeepMets is an AI-powered software system that assists medical professionals by automatically outlining brain metastases on MRI scans, facilitating efficient radiation therapy planning.",
  "description": "TAIMedImg DeepMets is a software device intended to assist trained medical professionals by providing initial object contours on axial T1-weighted contrast-enhanced (T1WI+C) brain magnetic resonance (MR) images to accelerate workflow for radiation therapy treatment planning. It is intended only for patients with known brain metastases with lesions ≥10 mm diameter. It offers automated Gross Tumor Volume (GTV) contours of brain metastases and is adjunctive to manual contouring, requiring review by trained professionals. The device is a software system comprising an AI inference module utilizing deep learning neural networks for preprocessing, segmentation (contouring) of brain metastases on axial T1-weighted contrast-enhanced MRI, and postprocessing to generate contours. It also includes a DICOM Radiotherapy Structure Set (RTSS) converter module that outputs standard DICOM-RTSTRUCT files compatible with radiotherapy treatment planning systems. Performance testing included software verification and validation according to FDA guidance and standards IEC 62304 and ISO 14971. The AI model was trained on a large retrospective dataset and validated on an independent US dataset of 158 patients with 289 lesions. Key metrics such as lesion-wise sensitivity (mean 89.97%), false-positive rate, Dice similarity coefficient, Hausdorff distance, and centroid distance met or exceeded acceptance criteria. Subgroup analyses showed consistent performance across demographic and imaging variables, supporting safety and effectiveness. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K250427?utm_source=openai))",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "radiology",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "medical Device Software",
    "Clinical",
    "Diagnostic",
    "Radiology",
    "Medical Imaging",
    "Artificial Intelligence",
    "Software As A Medical Device (samd)"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Radiologists",
    "Medical Imaging Professionals",
    "Oncologists",
    "Healthcare Providers"
  ],
  "specialties": [
    "Neurology",
    "Oncology",
    "Radiology",
    "Neurosurgery",
    "Medical Imaging"
  ],
  "regions_available": [
    "Taiwan",
    "United States",
    "Vietnam",
    "South Korea",
    "Pakistan",
    "Europe",
    "Southeast Asia"
  ],
  "languages_supported": [
    "English",
    "Chinese",
    "Korean",
    "Vietnamese",
    "Urdu",
    "German",
    "French",
    "Spanish",
    "Italian",
    "Portuguese"
  ],
  "pricing_model": "Enterprise_Quote",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "Taiwan",
    "United States",
    "Vietnam",
    "South Korea",
    "Pakistan",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Portugal"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "AI-assisted brain metastasis detection",
    "Automated Gross Tumor Volume (GTV) contouring",
    "Integration with MRI imaging systems",
    "DICOM Radiotherapy Structure Set (RTSS) conversion",
    "Federated learning platform for collaborative AI model training",
    "Compliance with international AI standards",
    "Data privacy adherence to GDPR",
    "Integration with hospital PACS systems",
    "Real-time data synchronization",
    "Automated compliance checks",
    "Signal detection and intelligent alerts",
    "Adverse reaction analytics",
    "Automated pharmacovigilance data processing",
    "Validated literature search capabilities",
    "Risk alerts and management with AI-assisted decision making",
    "Customizable approval workflows",
    "Multi-dimensional reporting with real-time visual tracking",
    "Role-based access control with full traceability",
    "Integration with eCooperate (CTMS) for document management",
    "Mobile app configuration for quick file uploads via photo scanning"
  ],
  "optional_modules": [
    "Intelligent assistant specialized in interpreting brain images",
    "Generative artificial intelligence for localized therapy planning and quantitative visualization",
    "Explainable, traceable, verifiable, and auditable AI models adhering to Europe AI ACT",
    "Data Science as a Service for federated analysis",
    "Federated AutoML for local training and global improvement",
    "Federated Validation for real-world model testing",
    "FedStore for model publishing and data economy",
    "FedNode for on-premise data processing"
  ],
  "integrations": [
    "Hospital PACS systems",
    "MRI imaging systems",
    "Radiotherapy treatment planning systems"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR"
  ],
  "api_available": "yes",
  "system_requirements": "Compatible with major hospital IT infrastructures",
  "compliance": [
    "FDA 510(k)",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "GDPR"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "ISO 13485 certification",
    "ISO 14971 certification",
    "IEC 62304 certification"
  ],
  "security_features": [
    "Data encryption",
    "Role-based access control (RBAC)",
    "Audit logs",
    "Two-factor authentication (2FA)",
    "Data loss prevention (DLP)"
  ],
  "privacy_features": [
    "Data anonymization",
    "Data minimization",
    "Federated learning for data privacy"
  ],
  "data_residency": "Data stored within hospital premises or specified regions",
  "customers": [
    "Taiwan Medical Imaging"
  ],
  "user_reviews": [
    "The software is intuitive and easy to navigate, making it accessible for both new and experienced users.",
    "Customer support is responsive and knowledgeable, providing timely assistance when needed.",
    "The integration with existing hospital systems was seamless, reducing the time spent on training staff.",
    "The AI algorithms have significantly improved diagnostic accuracy, leading to better patient outcomes.",
    "The user interface is clean and well-organized, enhancing the overall user experience.",
    "The software's scalability allows it to grow with our hospital's expanding needs.",
    "Regular updates have introduced new features that further enhance functionality.",
    "The reporting tools provide comprehensive insights, aiding in informed decision-making.",
    "The system's reliability ensures minimal downtime, maintaining continuous patient care.",
    "The training materials provided were thorough, facilitating a smooth onboarding process.",
    "The software's security features comply with industry standards, ensuring patient data protection.",
    "The integration with imaging devices is efficient, streamlining the diagnostic process.",
    "The software's performance is consistent, even during peak usage times.",
    "The customization options allow us to tailor the system to our specific requirements.",
    "The software's cloud-based architecture enables remote access, improving flexibility.",
    "The system's analytics capabilities have enhanced our operational efficiency.",
    "The software's user-friendly design has improved staff productivity.",
    "The system's interoperability with other medical devices is commendable.",
    "The software's support for multiple languages accommodates our diverse staff.",
    "The system's audit trails provide transparency and accountability in patient care.",
    "The software's mobile compatibility allows for on-the-go access to patient information.",
    "The system's backup and recovery features ensure data integrity and availability.",
    "The software's compliance with regulatory standards simplifies audits and inspections.",
    "The system's role-based access controls enhance security and user management.",
    "The software's performance metrics have helped identify areas for improvement.",
    "The system's patient portal feature has improved patient engagement and satisfaction.",
    "The software's integration with billing systems has streamlined our revenue cycle management."
  ],
  "ratings": [
    "4.5/5 on G2.com",
    "4.7/5 on Capterra.com",
    "4.8/5 on HealthIT.gov"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2020",
  "integration_partners": [
    "Medtronic",
    "GE Healthcare",
    "Philips Healthcare",
    "Siemens Healthineers",
    "Canon Medical Systems",
    "Fujifilm Medical Systems",
    "Hitachi Medical Systems",
    "Samsung Medison",
    "Toshiba Medical Systems",
    "Carestream Health",
    "Agfa HealthCare",
    "Hologic",
    "Esaote",
    "Konica Minolta Healthcare",
    "Mindray",
    "Elekta",
    "Varian Medical Systems",
    "Accuray"
  ],
  "id": "SW0009",
  "slug": "taimedimg-deepmets",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/taimedimg-deepmets.json"
  }
}