Key Features

  • Lesion classification
  • Quantification of lung involvement
  • Total and lobular

General Information

Product name

icolung

Company

Subspeciality

Chest

Modality

CT

Disease targeted

COVID-19

Main task

Not specified

Technical Specifications

Population

All non-contrast chest CT images

Patient population age

Not specified

Input

non-contrast chest CT image

Input format

DICOM

Output

Color-coded segmentation overlays, report with quantification of lung involvement.

Output format

DICOM

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform

Deployment

Cloud-based

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:

MDD

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

04-2020

AI Platforms

Bayer Pharmaceuticals, Siemens Healthineers

Resellers

Not specified

Countries present

17

Paying clinical customers

75

Research/test users

20

Pricing Information

Pricing model

Pro bono

Based on

Public need

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients

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