Lunit INSIGHT CXR

Lunit

Key Features

Abnormality score
Radiologic finding detection
Text interpretation

General Information

Product name

Lunit INSIGHT CXR

Company

Lunit

Subspeciality

Chest

Modality

X-ray

Disease targeted

Atelectasis, calcification, cardiomegaly, consolidation, fibrosis, mediastinal widening, nodule, pleural effusion, pneumothorax, pneumoperitoneum, tuberculosis

Main task

Not specified

Technical Specifications

Population

Patients aged 14 years or older

Patient population age

Not specified

Input

chest PA(posterior-anterior view), chest AP(anterior-posterior view)

Input format

DICOM

Output

Localization (color map, grayscale map, combined map, single colormap), abnormality score for each lesion/case, binary assessment of abnormality, worklist order, draft radiology report generation

Output format

DICOM GSPS (Grayscale Softcopy Presentation State), DICOM Secondary Capture, HL7, Prepopulated Report (API integration only)

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

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

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

3 - 10 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

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

11-2019

AI Platforms

Agfa Healthcare, Blackford Analysis, CARPL.AI, Deepc, FujiFilm, GE Healthcare, Incepto, Philips Healthcare, Sectra

Resellers

INFINITT AI Platform, Osimis

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Diagnostic Accuracy of Chest X-ray Computer-Aided Detection Software for Detection of Prevalent and Incident Tuberculosis in Household Contacts