InferRead CT Pneumonia

Infervision

InferRead CT Pneumonia allows for screening of the COVID-19 detecting pneumonia in less than one minute. The main functionalities incorporate displaying the number of affected lung lobes, its degree of infection, the location and contouring of the lesion, assessment of the evolution of the infection and an alert system that warns if there is a suspected positive case of COVID-19. This solution is aimed to help patient triage and detect early COVID-19 positive cases.

Product specifications

Information source: Vendor
Last updated: March 31, 2020

General
Product name	InferRead CT Pneumonia
Company	Infervision
Subspeciality	Chest
Modality	CT
Disease targeted	Pneumonia, COVID-19 induced pneumonia
Key-features	Pneunomonia detection, report generation, COVID-19 alarm functionality
Suggested use	Before: flagging acute findings, During: interactive decision support (shows abnormalities/results only on demand), report suggestion, After: diagnosis verification
Data characteristics
Population	patients with suspicion of being SARS-CoV-2 positive
Input	CT diagnostics, COVID diagnostics, Pneumonia detection
Input format	DICOM
Output	overlay with lesion contouring, histogram of density distribution, draft report
Output format	DICOM, webviewer (description of lesion features), web viewer alarm (visible and sound alarm), editable draft report
Technology
Integration	Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Stand-alone third party application
Deployment	Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	3 - 10 seconds
Certification
CE	Certified, Class IIa , MDD
FDA	No or not yet
Market presence
On market since	01-2020
Distribution channels
Countries present (clinical, non-research use)	2
Paying clinical customers (institutes)	50
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of installations
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers