InferRead CT Pneumonia


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
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), During: 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
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
CE Certified, Class IIa
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 model Subscription
Based on Number of installations
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers