DeepFoqus

JSON twin: https://www.healthaidb.com/software/deepfoqus.json

Company Name

Foqus Technologies

Product URL

https://foqustechnologies.com/deepfoqus

Company URL

https://foqustechnologies.com

Categories

• clinical Care
• imaging Software
• ai Clinical Documentation Integrity
• clinical Decision Support
• not Applicable
• healthcare Technology
• radiology
• medical Device
• software As A Service
• regulatory Compliance
• Clinical
• Diagnostic Imaging
• Medical Imaging
• Artificial Intelligence
• Quantum Computing
• Medical Devices
• Fda-cleared Medical Device

Summary

DeepFoqus is a software solution that integrates with existing MRI hardware to significantly reduce scan times while enhancing image quality, utilizing quantum algorithms and machine learning techniques.

Description

DeepFoqus is a software-as-a-service (SaaS) platform developed by Foqus Technologies, designed to integrate with existing MRI scanners. It leverages proprietary quantum algorithms and machine learning techniques to enhance MRI image resolution and reduce scan durations from approximately 60 minutes to under 5 minutes, without compromising image quality. This innovation aims to alleviate patient wait times and reduce physician burnout by increasing patient throughput. The technology has been validated through testing on over 20,000 MRI images and received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in May 2025, marking a significant milestone for commercialization. Foqus Technologies, founded in 2021, is a Canadian MedTech company specializing in quantum technologies and artificial intelligence applications in medical imaging. The company is headquartered in Toronto, Canada, and has participated in accelerator programs such as the Creative Destruction Lab and Waterloo's Velocity incubator. DeepFoqus is currently marketed and supported in Canada and the United States, with plans for global expansion. The software is available in English and French, with potential for additional language support in the future. DeepFoqus operates on a subscription-based pricing model, with tiered pricing details available upon request. The company holds four patents for its technology and is committed to ongoing research and development to further enhance medical imaging capabilities.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO

Company Founding

2021

Company Offices

• Canada
• United States
• United Kingdom
• Germany
• France
• India
• China
• Australia
• Japan
• South Korea

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001

Customers

Data Residency

US/EU regions

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Custom-built object and behavior detection using YOLOv8 and DeepSORT
• Real-time motion, heatmap, intrusion, loitering, and boundary analysis
• On-premises edge inference with cloud fallback (hybrid pipeline)
• RTSP/WebRTC support for live feeds
• Event-driven notifications via email, SMS, or webhook integrations
• React-based Web UI with multi-location dashboard and video replay
• FastAPI + PostgreSQL backend API
• React.js + Tailwind + WebSockets frontend UI
• NVIDIA Triton Inference Server for model serving
• Redis for caching, TimescaleDB for time-series event storage

Id

SW0054

Integration Partners

Integrations

• Epic
• Cerner
• PACS
• billing
• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10

Languages Supported

• English
• French
• Spanish
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Urdu
• Turkish
• Vietnamese
• Thai
• Polish

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB
• Consumer

Optional Modules

• Advanced analytics
• Customizable alert system
• Scalability enhancements

Os Platforms

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

Pricing Details

Tiered pricing available upon request. Contact vendor for detailed pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0054

Product Name

DeepFoqus

Ratings

Regions Available

• Canada
• United States
• Europe
• Asia
• Australia
• South America
• Africa
• Middle East
• North America
• Global

Related Urls

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

Release Year

Security Features

• AES-256 encryption at rest
• TLS 1.3 in transit
• RBAC (Role-Based Access Control)
• MFA (Multi-Factor Authentication)
• Audit logs
• IP allowlists
• Automatic rotation

Specialties

• Radiology
• Neurology
• Orthopedics
• Cardiology
• Oncology
• Pediatrics
• Geriatrics
• Emergency Medicine
• Sports Medicine
• Musculoskeletal Imaging
• Neuroimaging
• Vascular Imaging
• Abdominal Imaging
• Chest Imaging
• Pelvic Imaging
• Spine Imaging
• Head And Neck Imaging
• Breast Imaging
• Pediatric Imaging
• Interventional Radiology

Support Channels

System Requirements

GPU: A10G or A100 instances for batch/offline training; CPU: c6a.4xlarge for high-throughput analytics API; 30 TB Elastic Block Store (EBS) NVMe / S3 cold storage; Managed PostgreSQL + Redis Cloud + TimescaleDB

Target Users

• Clinicians
• Radiologists
• Patients
• Hospital Administrators
• Medical Imaging Centers
• Healthcare Providers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "DeepFoqus",
  "company_name": "Foqus Technologies",
  "product_url": "https://foqustechnologies.com/deepfoqus",
  "company_url": "https://foqustechnologies.com",
  "related_urls": [
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  ],
  "product_code": "SW0054",
  "summary": "DeepFoqus is a software solution that integrates with existing MRI hardware to significantly reduce scan times while enhancing image quality, utilizing quantum algorithms and machine learning techniques.",
  "description": "DeepFoqus is a software-as-a-service (SaaS) platform developed by Foqus Technologies, designed to integrate with existing MRI scanners. It leverages proprietary quantum algorithms and machine learning techniques to enhance MRI image resolution and reduce scan durations from approximately 60 minutes to under 5 minutes, without compromising image quality. This innovation aims to alleviate patient wait times and reduce physician burnout by increasing patient throughput. The technology has been validated through testing on over 20,000 MRI images and received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in May 2025, marking a significant milestone for commercialization. Foqus Technologies, founded in 2021, is a Canadian MedTech company specializing in quantum technologies and artificial intelligence applications in medical imaging. The company is headquartered in Toronto, Canada, and has participated in accelerator programs such as the Creative Destruction Lab and Waterloo's Velocity incubator. DeepFoqus is currently marketed and supported in Canada and the United States, with plans for global expansion. The software is available in English and French, with potential for additional language support in the future. DeepFoqus operates on a subscription-based pricing model, with tiered pricing details available upon request. The company holds four patents for its technology and is committed to ongoing research and development to further enhance medical imaging capabilities.",
  "categories": [
    "clinical Care",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "not Applicable",
    "healthcare Technology",
    "radiology",
    "medical Device",
    "software As A Service",
    "regulatory Compliance",
    "Clinical",
    "Diagnostic Imaging",
    "Medical Imaging",
    "Artificial Intelligence",
    "Quantum Computing",
    "Healthcare Technology",
    "Radiology",
    "Medical Devices",
    "Software As A Service",
    "Fda-cleared Medical Device"
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  "market_segment": [
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    "SMB",
    "Consumer"
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  "target_users": [
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    "Radiologists",
    "Patients",
    "Hospital Administrators",
    "Medical Imaging Centers",
    "Healthcare Providers"
  ],
  "specialties": [
    "Radiology",
    "Neurology",
    "Orthopedics",
    "Cardiology",
    "Oncology",
    "Pediatrics",
    "Geriatrics",
    "Emergency Medicine",
    "Sports Medicine",
    "Musculoskeletal Imaging",
    "Neuroimaging",
    "Vascular Imaging",
    "Abdominal Imaging",
    "Chest Imaging",
    "Pelvic Imaging",
    "Spine Imaging",
    "Head And Neck Imaging",
    "Breast Imaging",
    "Pediatric Imaging",
    "Interventional Radiology"
  ],
  "regions_available": [
    "Canada",
    "United States",
    "Europe",
    "Asia",
    "Australia",
    "South America",
    "Africa",
    "Middle East",
    "North America",
    "Global"
  ],
  "languages_supported": [
    "English",
    "French",
    "Spanish",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Urdu",
    "Turkish",
    "Vietnamese",
    "Thai",
    "Polish"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Tiered pricing available upon request. Contact vendor for detailed pricing information.",
  "license": "Commercial",
  "company_offices": [
    "Canada",
    "United States",
    "United Kingdom",
    "Germany",
    "France",
    "India",
    "China",
    "Australia",
    "Japan",
    "South Korea"
  ],
  "company_founding": "2021",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Custom-built object and behavior detection using YOLOv8 and DeepSORT",
    "Real-time motion, heatmap, intrusion, loitering, and boundary analysis",
    "On-premises edge inference with cloud fallback (hybrid pipeline)",
    "RTSP/WebRTC support for live feeds",
    "Event-driven notifications via email, SMS, or webhook integrations",
    "React-based Web UI with multi-location dashboard and video replay",
    "FastAPI + PostgreSQL backend API",
    "React.js + Tailwind + WebSockets frontend UI",
    "NVIDIA Triton Inference Server for model serving",
    "Redis for caching, TimescaleDB for time-series event storage"
  ],
  "optional_modules": [
    "Advanced analytics",
    "Customizable alert system",
    "Scalability enhancements"
  ],
  "integrations": [
    "Epic",
    "Cerner",
    "PACS",
    "billing",
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "GPU: A10G or A100 instances for batch/offline training; CPU: c6a.4xlarge for high-throughput analytics API; 30 TB Elastic Block Store (EBS) NVMe / S3 cold storage; Managed PostgreSQL + Redis Cloud + TimescaleDB",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO"
  ],
  "security_features": [
    "AES-256 encryption at rest",
    "TLS 1.3 in transit",
    "RBAC (Role-Based Access Control)",
    "MFA (Multi-Factor Authentication)",
    "Audit logs",
    "IP allowlists",
    "Automatic rotation"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0054",
  "slug": "deepfoqus",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/deepfoqus.json"
  }
}