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ChestLink, ChestEye

ChestLink V1.0, ChestEye V2.6

Company HQ: 

Vilnius, Lithuania

Download Product Profile

Last Updated:

15th May 2023

ChestEye and ChestLink are diagnostic aid tools and triaging solutions. The goal of these products is to save time for radiologists by identifying chest X-ray images that have no abnormalities. ChestEye and ChestLink are based on the same artificial intelligence (AI) algorithm but use different threshold scores. ChestLink is used for normal reporting automation, while ChestEye is used for prioritization.
ChestEye can prioritize cases with abnormal images, including those with a high likelihood of having tuberculosis (TB) and also provide preliminary reports for them.
ChestLink can also provide diagnostic aid by automatically issuing up to 40% of reports for cases without abnormalities on the chest X-ray. As a result, radiologists would not need to spend any time on these cases.


ChestEye: CE Class IIB
ChestLink: CE Class IIB

Development Stage

On the Market


Online & Offline

Intended Age Group

18+ years

Target Setting

Primary health centres, general hospital (above primary level), teleradiology companies, government/public sector, e.g. national TB programme, private sector

Current Market

Europe, South America, Australia, Asia, Middle East, and Africa


The product can be used to read images from any kind of chest X-ray machine.
Chest X-ray image format: JPEG, PNG, DICOM
Chest X-ray type: ChestEye: posterior-anterior chest X-ray and anterior-posterior chest X-ray, ChestLink: posterior-anterior chest X-ray only


Output includes:

Heat map

Dichotomous output indicating whether each abnormality is present or absent

Dichotomous output only indicating whether TB is likely present or likely absent

Location of each abnormality

The cutoff/threshold score can be adjusted/optimized for each client. Results are provided in a structured report.

Lung abnormalities detected include:

abscess, airfluid level, atelectasis, blunted costophrenic angle, bronchiectasis, calcification, cavity, consolidation, fibrosis, hyperinflation, interstitial markings, loculated pleural effusion, lymphadenopathy, mass, nodule, opacity, pleural effusion, prominence in hilar region, pneumothorax, tracheal shift

Lung abnormalities included in TB score:

calcification, cavity, consolidation, fibrosis, lymphadenopathy, opacity, pleural effusion, prominence in hilar region


Hardware requirements:
16 GB of RAM
64bit CPU with 8 logical cores with AVX instruction support
1 TB of disk space


Internet Bandwidth (FTTH): >= 100 Mpbs



Hardware requirements:
16 GB of RAM
64bit CPU with 8 logical cores with AVX instruction support
1 TB of disk space

Integration with X-ray Systems

Integration with PACS and Legacy Systems

Please contact

Please contact


Linux (preferably Ubuntu 18.04 LTS) with inbound SSH access

Processing Time

Up to 10 seconds

Data Sharing & Privacy

Server location (for online product):
Servers could be located by the need of the client
Whether data is shared with the manufacturer depends on agreement with the client
There is an option to de-identify data. Additional software installation is required.


Please contact for more information on price.
Oxipit software integrates with picture archiving and communication systems (PACS) and/or radiology information system (RIS) via either DICOM or HL7 protocols. Images are automatically routed to the Oxipit server and after analyses, Oxipit provides structural reports with priority back to PACS/RIS.

Software Updates

Frequency: Monthly
Cost: All costs are included in the pricing

Product Development Method

Supervised deep learning (CNN, RNN)


1 million chest X-rays from both non-public and open source datasets from Europe, Asia and South and North America.

Reference Standard

Majority human reader (multi-read), also some examples with computed tomography (CT)


Peer-reviewed publications are not yet available.

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