C-Spine (CSF)

Aidoc
Aidoc's C-Spine is a triage and notifcation software indicated for use in the analysis of cervice spine CT images. The solution assists hospital networked and trained radiologists in workflow triage by flagging and communication of suspected positive findings of linear lucencies in the cervical spine bone in patterns compatible with fractures.
Information source: Vendor
Last updated: Jan. 20, 2024

General Information

General
Product name C-Spine (CSF)
Company Aidoc
Subspeciality MSK
Modality CT
Disease targeted Cervical spine fractures
Key-features Triage tool, workflow improvement
Suggested use Triage/prioritization of medical images.

Technical Specifications

Data characteristics
Population All non contrast C-spine CT
Input Non contrast C-spine CT
Input format DICOM
Output flagging and communication of positive suspected findings
Output format Annotated images: DICOM SC or overlay Prioritization notification: own application, HL7, API, bespoke integration
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System),
Deployment Hybrid solution
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class I , MDD
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE) Radiological computer aided triage and notification software indicated for use in the analysis of cervical spine CT images. The device is intended to assist hospital networks and appropriately trained medical specialists in workflow triage by flagging and communication of suspected positive findings of linear lucencies in the cervical spine bone in patterns compatible with fractures (CSF).

Market

Market presence
On market since 11-2017
Distribution channels Philips, Eureka Clinical AI, Nuance PIN, Fujifilm, Change Healthcare, GE Edison
Countries present (clinical, non-research use) 14
Paying clinical customers (institutes) Over 500
Research/test users (institutes) 20-30
Pricing
Pricing model Subscription
Based on Total imaging volume

Evidence

Evidence
Peer reviewed papers on performance

  • Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT (read)

Non-peer reviewed papers on performance
Other relevant papers