Products
Companies
News
About
About
FAQ
Contact
Contact
Newsletter
×
Subscribe to our monthly newsletter
Subscribe
Products
CINA-iPE
CINA-iPE
Avicenna.AI
The CINA-iPE solution provides automated detection and prioritization of incidental Pulmonary Embolism on CTA scans.
Information source:
Vendor
Last updated:
November 19, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
CINA-iPE
Company
Avicenna.AI
Subspeciality
Chest
Modality
CT
Disease targeted
Pulmonary embolism
Key-features
Pulmonary embolism detection, notification
Suggested use
Before: adapting worklist order, flagging acute findings
Technical Specifications
Data characteristics
Population
Patient with CTA scan ordered for indications other than suspected PE
Input
Chest and thoraco-abdominal CT angiographies (CTA)
Input format
DICOM
Output
bounding box, worklist order, notification
Output format
DICOM SC, GSPS
Technology
Integration
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis
Automatically, right after the image acquisition
Processing time
10 - 60 seconds
Regulatory
Certification
CE
Certified, Class IIb
, MDR
FDA
510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
02-2023
Distribution channels
Eureka Clinical AI, Blackford, Contextflow
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Pay-per-use, Subscription
Based on
Number of installations, Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
Contribution of an artificial intelligence tool in the detection of incidental pulmonary embolism on oncology assessment scans
(read)
Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection
(read)
Non-peer reviewed papers on performance
Other relevant papers