Insight CXR

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Company Name

Lunit

Product URL

https://www.lunit.io/products/cxr

Company URL

https://www.lunit.io

Categories

Summary

Lunit INSIGHT CXR is an AI-powered chest X-ray analysis solution that detects 11 radiologic abnormalities, including tuberculosis, and supports 45 different diagnoses, enhancing diagnostic accuracy and efficiency for radiologists.

Description

Lunit INSIGHT CXR is an AI-driven software designed to analyze chest X-ray images, identifying 11 major abnormalities such as nodules, consolidation, pneumothorax, pleural effusion, atelectasis, pneumoperitoneum, cardiomegaly, mediastinal widening, calcification, fibrosis, and acute bone fractures. It also supports tuberculosis screening, enabling the detection of 45 different diagnoses. The software integrates seamlessly into existing radiology workflows, offering features like normal flagging, automated report generation, and current-prior comparison for nodule progression tracking. Lunit INSIGHT CXR has demonstrated high accuracy, with an Area Under the Curve (AUC) ranging from 97% to 99%, and has been validated in multiple studies, including a head-to-head study published in 'Radiology' that showed an AUC of 0.93 in lung nodule detection. The product has received FDA 510(k) clearance and CE marking, facilitating its deployment in various healthcare settings worldwide.

Api Available

yes

Certifications

Company Founding

2013

Company Offices

Compliance

Customers

Data Residency

US and EU region hosting options; cloud region selection / BYO cloud region possible (on-prem available)

Data Standards

Deployment Model

Features

Id

SW2841

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

Product Code

SW2841

Product Name

Insight CXR

Ratings

Regions Available

Related Urls

Release Year

2024

Security Features

Specialties

Support Channels

System Requirements

DICOM connectivity; Linux server for on-prem; GPU recommended for inference; network access to PACS/RIS/EHR

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON