Health AI Register Logo
ProductsCompaniesNewsContact
InferRead CT Lung

Key Features

  • Lung nodule detection
  • Multi-timepoint analysis
  • Report generation

General Information

Product name

InferRead CT Lung

Subspeciality

Chest

Modality

CT

Disease targeted

Lung cancer

Main task

Not specified

Technical Specifications

Population

Not specified

Patient population age

Not specified

Input

CT thorax

Input format

DICOM

Output

Type of lesions (solid, calcified, GGN nodules, semi-solid, etc.), location of each lesion (layer and anatomical location), density of the lesion, volume of the lesion, degree of malignancy of the lesion, draft report

Output format

DICOM GSPS, DICOM overlay, Pdf file (draft report), Webviewer (description of lesion features)

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

01-2020

AI Platforms

Deepc, Newton's Tree

Resellers

Not specified

Countries present

7

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Artificial intelligence-driven computer aided diagnosis system provides similar diagnosis value compared with doctors’ evaluation in lung cancer screening

Source: vendor | First published: Jul 14, 2024 | Last updated: Jul 9, 2025