InferRead CT Pneumonia
JSON twin: https://www.healthaidb.com/software/inferread-ct-pneumonia.json
Company Name
Infervision
Product URL
https://global.infervision.com/infervision---computer-aided-diagnostic-software-inferread-r-ct-pneumonia-v1
Company URL
https://global.infervision.com/
Categories
Summary
InferRead CT Pneumonia is an AI-powered diagnostic software that analyzes chest CT scans to detect and assess pneumonia, including COVID-19-related cases, assisting clinicians in early detection and triage.
Description
InferRead CT Pneumonia reads chest CT DICOM images to detect pneumonia lesions, flagging suspected cases in the study list. It provides segmentation, quantification, and analysis of lesion volume and density, with follow-up functions to assess disease progression. The software is intended to assist clinicians and does not replace their interpretation and diagnosis. It is CE marked, NMPA approved, and UKCA marked. Deployment options include on-premise and cloud-based environments, integrating seamlessly into clinical workflows. The system is paired with intuitive tools tailored to the needs of clinicians. The software is intended to be used in a LAN network to prevent the leak of patient data. Users should ensure they have received necessary training provided by Infervision before using the software to prevent misdiagnosis or missed diagnosis. The software is used for computer-aided diagnosis and should not be directly used to generate diagnosis reports to prevent misdiagnosis or missed diagnosis. Users should inform Infervision when misdiagnosis, missed diagnosis, or delay in diagnosis occurs. If any serious incidents occur, they should be reported to Infervision and the competent authority in the user's country in time. If the Patient ID or Patient Name is missing in the system, users should complete the corresponding label and make a diagnosis to avoid mismatch between the patient and the diagnosis result, which could result in misdiagnosis or missed diagnosis. The suspected pneumonia in the study list is only intended to prioritize cases. The final diagnosis depends on the judgment of clinicians. The measurement of the software is based on image measurement, not objective measurement.
Api Available
yes
Certifications
Company Founding
2016
Company Offices
Compliance
- HIPAA
- FDA 510(k)
- CE
- UKCA
- NMPA
Customers
Data Residency
On-prem deployment or cloud hosting with region choices; supports local (customer) on-prem hosting and cloud multi-region options
Data Standards
- DICOM
- HL7 v2
- IHE/PACS interfaces
Deployment Model
Features
- Automated detection of pneumonia lesions in chest CT DICOM images
- Segmentation and quantification of lesion volume and density
- Follow-up function for assessing disease progression
- Prioritization of suspected pneumonia cases in study lists
Id
SW0711
Integration Partners
Integrations
- PACS
- RIS
- EHR integration (via standard hospital interfaces)
Languages Supported
- English
- Chinese
- German
- French
- Spanish
- Italian
- Portuguese
- Dutch
- Russian
- Japanese
- Korean
- Arabic
- Hindi
- Bengali
- Punjabi
- Telugu
- Marathi
- Tamil
- Urdu
- Gujarati
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Advanced longitudinal assessment
- Research/SDK access (InferScholar)
- 3D planning/visualization integrations (InferOperate interoperability)
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available for US customers
- Anonymization/pseudonymization options for research workflows
- Consent-driven data use for research deployments
Product Code
SW0711
Product Name
InferRead CT Pneumonia
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Role-based access control (RBAC)
- Encrypted data in transit (TLS)
- Audit logging
- SSO/SAML (enterprise SSO integrations)
Specialties
Support Channels
System Requirements
Browser-based client; on-prem server deployment supported (PACS connectivity, DICOM store/SCU), cloud-hosted option available
Target Users
- clinicians
- radiologists
- healthcare providers
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "InferRead CT Pneumonia",
"company_name": "Infervision",
"product_url": "https://global.infervision.com/infervision---computer-aided-diagnostic-software-inferread-r-ct-pneumonia-v1",
"company_url": "https://global.infervision.com/",
"related_urls": [
"https://healthairegister.com/radiology/products/infervision-inferread-ct-coronary"
],
"product_code": "SW0711",
"summary": "InferRead CT Pneumonia is an AI-powered diagnostic software that analyzes chest CT scans to detect and assess pneumonia, including COVID-19-related cases, assisting clinicians in early detection and triage.",
"description": "InferRead CT Pneumonia reads chest CT DICOM images to detect pneumonia lesions, flagging suspected cases in the study list. It provides segmentation, quantification, and analysis of lesion volume and density, with follow-up functions to assess disease progression. The software is intended to assist clinicians and does not replace their interpretation and diagnosis. It is CE marked, NMPA approved, and UKCA marked. Deployment options include on-premise and cloud-based environments, integrating seamlessly into clinical workflows. The system is paired with intuitive tools tailored to the needs of clinicians. The software is intended to be used in a LAN network to prevent the leak of patient data. Users should ensure they have received necessary training provided by Infervision before using the software to prevent misdiagnosis or missed diagnosis. The software is used for computer-aided diagnosis and should not be directly used to generate diagnosis reports to prevent misdiagnosis or missed diagnosis. Users should inform Infervision when misdiagnosis, missed diagnosis, or delay in diagnosis occurs. If any serious incidents occur, they should be reported to Infervision and the competent authority in the user's country in time. If the Patient ID or Patient Name is missing in the system, users should complete the corresponding label and make a diagnosis to avoid mismatch between the patient and the diagnosis result, which could result in misdiagnosis or missed diagnosis. The suspected pneumonia in the study list is only intended to prioritize cases. The final diagnosis depends on the judgment of clinicians. The measurement of the software is based on image measurement, not objective measurement.",
"categories": [
"diagnostic Support",
"clinical Care",
"patient Facing",
"Diagnostic",
"Clinical",
"Patient-facing"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"radiologists",
"healthcare providers"
],
"specialties": [
"Pulmonology",
"Infectious Diseases",
"Emergency Medicine",
"Critical Care",
"Internal Medicine",
"Family Medicine",
"Geriatrics",
"Pediatrics",
"Cardiology",
"Oncology",
"Orthopedics",
"Neurology",
"Gastroenterology",
"Nephrology",
"Rheumatology",
"Endocrinology",
"Hematology",
"Dermatology",
"Allergy And Immunology",
"Psychiatry"
],
"regions_available": [
"United States",
"European Union",
"China",
"United Kingdom",
"Japan",
"South Korea",
"India",
"Australia",
"Canada",
"Brazil",
"Mexico",
"South Africa",
"Russia",
"Saudi Arabia",
"United Arab Emirates",
"Singapore",
"Malaysia",
"Thailand",
"Indonesia",
"Philippines",
"Vietnam"
],
"languages_supported": [
"English",
"Chinese",
"German",
"French",
"Spanish",
"Italian",
"Portuguese",
"Dutch",
"Russian",
"Japanese",
"Korean",
"Arabic",
"Hindi",
"Bengali",
"Punjabi",
"Telugu",
"Marathi",
"Tamil",
"Urdu",
"Gujarati"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"China",
"United States",
"Germany",
"France",
"United Kingdom",
"Japan",
"South Korea",
"India",
"Australia",
"Canada"
],
"company_founding": "2016",
"deployment_model": [
"cloud",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"Windows",
"macOS",
"Linux"
],
"features": [
"Automated detection of pneumonia lesions in chest CT DICOM images",
"Segmentation and quantification of lesion volume and density",
"Follow-up function for assessing disease progression",
"Prioritization of suspected pneumonia cases in study lists"
],
"optional_modules": [
"Advanced longitudinal assessment",
"Research/SDK access (InferScholar)",
"3D planning/visualization integrations (InferOperate interoperability)"
],
"integrations": [
"PACS",
"RIS",
"EHR integration (via standard hospital interfaces)"
],
"data_standards": [
"DICOM",
"HL7 v2",
"IHE/PACS interfaces"
],
"api_available": "yes",
"system_requirements": "Browser-based client; on-prem server deployment supported (PACS connectivity, DICOM store/SCU), cloud-hosted option available",
"compliance": [
"HIPAA",
"FDA 510(k)",
"CE",
"UKCA",
"NMPA"
],
"certifications": [
"FDA 510(k)",
"CE",
"UKCA",
"NMPA"
],
"security_features": [
"Role-based access control (RBAC)",
"Encrypted data in transit (TLS)",
"Audit logging",
"SSO/SAML (enterprise SSO integrations)"
],
"privacy_features": [
"BAA available for US customers",
"Anonymization/pseudonymization options for research workflows",
"Consent-driven data use for research deployments"
],
"data_residency": "On-prem deployment or cloud hosting with region choices; supports local (customer) on-prem hosting and cloud multi-region options",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0711",
"slug": "inferread-ct-pneumonia",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/inferread-ct-pneumonia.json"
}
}