Key Features

  • Vertebral compression fracture detection

General Information

Product name

CINA-VCF

Subspeciality

MSK

Modality

CT

Disease targeted

Vertebral compression fracture

Main task

Not specified

Technical Specifications

Population

Adults aged 50 years

Patient population age

Not specified

Input

Abdominal or Chest CT, with or without contrast

Input format

DICOM

Output

Triage and prioritization of positive suspected findings for vertebral compression fracture

Output format

DICOM SC

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

Not specified

Class:

Not specified

Not verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

06-2024

AI Platforms

Not specified

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

5

Pricing Information

Pricing model

Subscription

Based on

Number of installations, Number of users

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Validation of a Deep Learning Tool for Detection of Incidental Vertebral Compression Fractures

Technical Papers

Technical

View

ECR 2024 Poster: Performance evaluation of an AI-based application for opportunistic screening of thoraco-lumbar vertebral compression fracture

Source: vendor | First published: Mar 12, 2025 | Last updated: Jul 9, 2025