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: February 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	Towards clinical implementation of an AI-algorithm for detection of cervical spine fractures on computed tomography (read) 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