aprevo Digital Segmentation

JSON twin: https://www.healthaidb.com/software/aprevo-digital-segmentation.json

Company Name

Carlsmed

Product URL

https://carlsmed.com/how-it-works/

Company URL

https://carlsmed.com

Categories

• clinical Care
• diagnostic Support
• patient Facing
• Clinical
• Diagnostic

Summary

aprevo Digital Segmentation is Carlsmed's AI-driven platform that personalizes spine fusion surgeries to enhance patient outcomes.

Description

aprevo Digital Segmentation is an AI-enabled platform developed by Carlsmed to personalize spine fusion surgeries. It integrates pre-operative 3D surgical planning, intra-operative advanced visualization, and post-operative data analysis to create patient-specific surgical plans and devices, aiming to improve surgical precision and long-term outcomes. The platform has received FDA clearance for lumbar and cervical spinal fusion indications in the U.S.

Api Available

unknown

Certifications

• FDA 510(k) clearance for lumbar and cervical spinal fusion indications

Company Founding

2018

Company Offices

• United States

Compliance

• HIPAA
• FDA 510(k) clearance for lumbar and cervical spinal fusion indications

Customers

Data Residency

US-only

Data Standards

• DICOM

Deployment Model

• SaaS

Features

• AI-enabled 3D surgical planning
• Personalized surgical plans and devices
• 3D patient data integration
• Spinopelvic parameter classifications
• Normative range targets
• Post-operative data analysis
• 3D correction and precision alignment
• myaprevo® app for 3D plan and device visualization
• Patient-specific device design
• 3D printing of personalized devices
• Sterile device delivery for implantation
• Post-operative image analysis for goal confirmation

Id

SW0295

Integration Partners

Integrations

• CT scan imaging systems

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• myaprevo® app

Os Platforms

• Web
• iOS
• Android

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

• Business Associate Agreement (BAA) availability
• Data anonymization
• Data minimization

Product Code

SW0295

Product Name

aprevo Digital Segmentation

Ratings

Regions Available

• United States

Related Urls

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

Release Year

Security Features

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

Specialties

• Orthopedics
• Neurosurgery

Support Channels

System Requirements

Target Users

• clinicians
• surgeons
• patients

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "aprevo Digital Segmentation",
  "company_name": "Carlsmed",
  "product_url": "https://carlsmed.com/how-it-works/",
  "company_url": "https://carlsmed.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0295",
  "summary": "aprevo Digital Segmentation is Carlsmed's AI-driven platform that personalizes spine fusion surgeries to enhance patient outcomes.",
  "description": "aprevo Digital Segmentation is an AI-enabled platform developed by Carlsmed to personalize spine fusion surgeries. It integrates pre-operative 3D surgical planning, intra-operative advanced visualization, and post-operative data analysis to create patient-specific surgical plans and devices, aiming to improve surgical precision and long-term outcomes. The platform has received FDA clearance for lumbar and cervical spinal fusion indications in the U.S.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "patient Facing",
    "Clinical",
    "Diagnostic",
    "Patient-facing"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "surgeons",
    "patients"
  ],
  "specialties": [
    "Orthopedics",
    "Neurosurgery"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "AI-enabled 3D surgical planning",
    "Personalized surgical plans and devices",
    "3D patient data integration",
    "Spinopelvic parameter classifications",
    "Normative range targets",
    "Post-operative data analysis",
    "3D correction and precision alignment",
    "myaprevo® app for 3D plan and device visualization",
    "Patient-specific device design",
    "3D printing of personalized devices",
    "Sterile device delivery for implantation",
    "Post-operative image analysis for goal confirmation"
  ],
  "optional_modules": [
    "myaprevo® app"
  ],
  "integrations": [
    "CT scan imaging systems"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "FDA 510(k) clearance for lumbar and cervical spinal fusion indications"
  ],
  "certifications": [
    "FDA 510(k) clearance for lumbar and cervical spinal fusion indications"
  ],
  "security_features": [
    "Data encryption",
    "Role-based access control (RBAC)",
    "Audit logs",
    "Two-factor authentication (2FA)"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) availability",
    "Data anonymization",
    "Data minimization"
  ],
  "data_residency": "US-only",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0295",
  "slug": "aprevo-digital-segmentation",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/aprevo-digital-segmentation.json"
  }
}