DeepCatch

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

Company Name

MEDICAL IP

Product URL

https://medicalip.com/DeepCatch/

Company URL

https://medicalip.com/

Categories

• clinical Care
• diagnostic Support
• imaging Software
• ai Clinical Documentation Integrity
• clinical Decision Support
• remote Monitoring
• Clinical
• Diagnostic
• Medical Imaging
• Artificial Intelligence
• Health Monitoring

Summary

DeepCatch is an AI-powered software that analyzes whole-body CT scans to assess body composition, including muscle, fat, bone density, and internal organs, providing 3D visual and quantitative reports to aid in disease prediction and monitoring.

Description

DeepCatch is an AI-based medical software developed by MEDICAL IP that automatically segments and analyzes anatomical structures in CT scans, delivering comprehensive reports with 3D visualizations and quantitative data. It received FDA 510(k) clearance in June 2023, marking it as the first AI software to automatically analyze various body components through whole-body CT scans. The software evaluates multiple body parts, such as skin, bone, muscle, visceral fat, subcutaneous fat, internal organs, and the central nervous system, providing valuable insights for disease prediction and monitoring. DeepCatch is designed to complement professional clinical judgment and is intended for use in conjunction with other diagnostic tools. It has been validated through multi-site and multi-racial clinical trials in the U.S., confirming its safety and effectiveness. Unlike traditional methods like Bioelectrical Impedance Analysis (BIA) and Dual-Energy X-ray Absorptiometry (DXA), DeepCatch offers robust 3D body composition analysis using CT scans, presenting a new standard for body composition assessment. The software is expected to contribute to the development of the medical industry by providing fast, accurate, and efficient CT-based body composition analysis technology.

Api Available

unknown

Certifications

• FDA 510(k) clearance
• Korea MFDS approval

Company Founding

2017

Company Offices

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

Compliance

• HIPAA
• FDA 510(k) clearance
• Korea MFDS approval

Customers

Data Residency

US and Korea

Data Standards

• DICOM

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Whole-body CT-based body composition analysis
• Automatic segmentation and analysis of anatomical structures
• Quantitative reporting with 3D visualization
• Assessment of bone, muscle, visceral fat, subcutaneous fat, internal organs, and central nervous system
• Integration with existing CT workflows
• Actionable multi-organ analysis
• Enhanced patient satisfaction
• Streamlined workflow for healthcare providers

Id

SW0344

Integration Partners

Integrations

• CT scanners
• PACS systems
• EMR systems
• OCS systems

Languages Supported

• English
• Korean
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Arabic
• Hindi
• Bengali
• Punjabi
• Javanese
• Turkish
• Vietnamese
• Telugu
• Marathi

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB
• Consumer

Optional Modules

• Advanced reporting features
• Customizable biomarkers
• Integration with additional medical imaging modalities

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• Data anonymization
• Consent management

Product Code

SW0344

Product Name

DeepCatch

Ratings

Regions Available

• United States
• South Korea
• Europe
• Asia
• Africa
• Australia
• Canada
• Mexico
• Brazil
• Argentina
• Chile
• Colombia
• Peru
• Venezuela
• Ecuador
• Paraguay
• Uruguay
• Bolivia
• Guyana
• Suriname

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 control
• Audit logs

Specialties

• Cardiology
• Endocrinology
• Orthopedics
• Geriatrics
• Oncology
• Metabolic Diseases
• Surgery
• Preventive Medicine
• Sports Medicine
• Pediatrics
• Obstetrics And Gynecology
• Pulmonology
• Nephrology
• Neurology
• Rheumatology
• Gastroenterology
• Hematology
• Infectious Diseases
• Dermatology
• Ophthalmology

Support Channels

System Requirements

Compatible CT scanners and PACS systems

Target Users

• Clinicians
• Radiologists
• Patients
• Healthcare Providers
• Researchers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "DeepCatch",
  "company_name": "MEDICAL IP",
  "product_url": "https://medicalip.com/DeepCatch/",
  "company_url": "https://medicalip.com/",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0344",
  "summary": "DeepCatch is an AI-powered software that analyzes whole-body CT scans to assess body composition, including muscle, fat, bone density, and internal organs, providing 3D visual and quantitative reports to aid in disease prediction and monitoring.",
  "description": "DeepCatch is an AI-based medical software developed by MEDICAL IP that automatically segments and analyzes anatomical structures in CT scans, delivering comprehensive reports with 3D visualizations and quantitative data. It received FDA 510(k) clearance in June 2023, marking it as the first AI software to automatically analyze various body components through whole-body CT scans. The software evaluates multiple body parts, such as skin, bone, muscle, visceral fat, subcutaneous fat, internal organs, and the central nervous system, providing valuable insights for disease prediction and monitoring. DeepCatch is designed to complement professional clinical judgment and is intended for use in conjunction with other diagnostic tools. It has been validated through multi-site and multi-racial clinical trials in the U.S., confirming its safety and effectiveness. Unlike traditional methods like Bioelectrical Impedance Analysis (BIA) and Dual-Energy X-ray Absorptiometry (DXA), DeepCatch offers robust 3D body composition analysis using CT scans, presenting a new standard for body composition assessment. The software is expected to contribute to the development of the medical industry by providing fast, accurate, and efficient CT-based body composition analysis technology.",
  "categories": [
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    "diagnostic Support",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "remote Monitoring",
    "Clinical",
    "Diagnostic",
    "Medical Imaging",
    "Artificial Intelligence",
    "Health Monitoring"
  ],
  "market_segment": [
    "Enterprise",
    "SMB",
    "Consumer"
  ],
  "target_users": [
    "Clinicians",
    "Radiologists",
    "Patients",
    "Healthcare Providers",
    "Researchers"
  ],
  "specialties": [
    "Cardiology",
    "Endocrinology",
    "Orthopedics",
    "Geriatrics",
    "Oncology",
    "Metabolic Diseases",
    "Surgery",
    "Preventive Medicine",
    "Sports Medicine",
    "Pediatrics",
    "Obstetrics And Gynecology",
    "Pulmonology",
    "Nephrology",
    "Neurology",
    "Rheumatology",
    "Gastroenterology",
    "Hematology",
    "Infectious Diseases",
    "Dermatology",
    "Ophthalmology"
  ],
  "regions_available": [
    "United States",
    "South Korea",
    "Europe",
    "Asia",
    "Africa",
    "Australia",
    "Canada",
    "Mexico",
    "Brazil",
    "Argentina",
    "Chile",
    "Colombia",
    "Peru",
    "Venezuela",
    "Ecuador",
    "Paraguay",
    "Uruguay",
    "Bolivia",
    "Guyana",
    "Suriname"
  ],
  "languages_supported": [
    "English",
    "Korean",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Javanese",
    "Turkish",
    "Vietnamese",
    "Telugu",
    "Marathi"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "South Korea",
    "United States",
    "Germany",
    "France",
    "United Kingdom",
    "Japan",
    "China",
    "India",
    "Brazil",
    "Australia"
  ],
  "company_founding": "2017",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Whole-body CT-based body composition analysis",
    "Automatic segmentation and analysis of anatomical structures",
    "Quantitative reporting with 3D visualization",
    "Assessment of bone, muscle, visceral fat, subcutaneous fat, internal organs, and central nervous system",
    "Integration with existing CT workflows",
    "Actionable multi-organ analysis",
    "Enhanced patient satisfaction",
    "Streamlined workflow for healthcare providers"
  ],
  "optional_modules": [
    "Advanced reporting features",
    "Customizable biomarkers",
    "Integration with additional medical imaging modalities"
  ],
  "integrations": [
    "CT scanners",
    "PACS systems",
    "EMR systems",
    "OCS systems"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "Compatible CT scanners and PACS systems",
  "compliance": [
    "HIPAA",
    "FDA 510(k) clearance",
    "Korea MFDS approval"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "Korea MFDS approval"
  ],
  "security_features": [
    "Data encryption",
    "Access control",
    "Audit logs"
  ],
  "privacy_features": [
    "Data anonymization",
    "Consent management"
  ],
  "data_residency": "US and Korea",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "2021",
  "integration_partners": [],
  "id": "SW0344",
  "slug": "deepcatch",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/deepcatch.json"
  }
}