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DeepCatchC
Automatically analyzes whole-body body composition from CT images, providing numerical and visual information for detecting and monitoring obesity, sarcopenia, lipopenia, osteop...
What is DeepCatchC?
Automatically analyzes whole-body body composition from CT images, providing numerical and visual information for detecting and monitoring obesity, sarcopenia, lipopenia, osteoporosis, metabolic disorders, and post-surgical follow-up.
Product typeDiagnostics & Imaging
Pricing ·
Deployment
APINot available
What teams use DeepCatchC for
AI Digital Twin
body composition analysis
anatomical structure segmentation from CT scans
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
Community reviewsReviews are owned and editable by their authors.
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
FDA 510(k) Clearance (v.1.1.4.)
KOREA MFDS Approved (v.1.3.0.)
No logs policy
Data controller and data processor roles
Administrative, technical, and physical safeguards
Controlled, secure server environment
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
