color blob

Veye Chest, your
AI lung nodule management solution

The second pair of eyes in the search for lung nodules on chest CT scans

Detecting and quantifying subtle abnormalities on chest CT scans is crucial for the timely diagnosis and treatment of lung cancer; it is also tedious and error-prone. Veye Chest improves patient outcomes by ensuring faster results, lowering the risk of misdiagnosis, and helping to detect and segment early-stage lung cancer.

Why use Veye Chest Clinical features
Veye Chest

Meet
Veye Chest

AN EXAMPLE OF PACS INTEGRATION

*This is a test patient ID.

Nodule
Analytics

Lung nodule detection, quantification and growth assessment, fully integrated into the radiology workflow

color blob
color blob

Veye Chest
clinical features

Detection

Detection

  • >= 3mm and <=30mm in size
  • Solid and sub-solid nodules (part-solid/ground-glass opacity)
Quantification

Quantification

  • Diameters: long axis, perpendicular short axis, and the average axial diameter
  • Volume: 3mm, per-slice segmentation and 3D visualisation
Growth assessment

Growth assessment

  • Growth percentage
  • Volume doubling time (VDT)
Classification

Classification

  • Solid and sub-solid nodules
color blob
color blob

Why use
Veye Chest

Seamless workflow integration

Veye Chest delivers all the results directly to the PACS, as part of the original study, using the DICOM standards. When you start reading the scan, Veye Chest’s analysis is already present, either as an additional series or through the GrayScale presentation State (GSPS), if supported by the PACS. There is no need for extra clicks and waiting time.

The results are accessible to anyone with PACS access, on and off site, at any time.

High accuracy through deep learning

Veye Chest delivers precise information regarding lung nodules as small as 3mm with a default detection sensitivity of 90%. It also retrieves the most recent prior, where available, and returns the growth percentage and volume doubling time per nodule. The high accuracy aims to reduce the risk of medical errors and gives you the confidence to make informed follow-up decisions.

Veye Chest complies with high standards of clinical safety and is certified as a CE Class IIb medical device. It is ready to assist you as a second or concurrent reader, in both routine clinical practice and lung cancer screening programmes.

Value-based healthcare

Making a radiology assessment is much more than finding small lesions on scans. Yet you spend most of your time analysing and reporting chest CT scans for lung nodules. As the demand for medical images increases, your workload is becoming unsustainable and the connection with your patients is suffering.

Veye Chest automates the simpler, cumbersome tasks of lung nodule detection, quantification and growth assessment. Having guideline-driven measurements directly into the workflow gives you back quality time to work on more complex cases and interact with patients.

color blob
color blob
“Veye Chest improves the quality of cancer care because it automates and standardises the reporting of nodule measurements.”
Dr. Thomas Jongsma Dr. Thomas Jongsma Radiologist at MSB Gooi en Eemland, Hilversum and Blaricum, the Netherlands
“Veye helps us read CT chest scans faster because it provides clear markers for nodules.”
Dr. Floris Rietema and Dr. Paul Algra Dr. Floris Rietema and Dr. Paul Algra Dr. Floris Rietema, Interventional Radiologist, Dr. Paul Algra, board member EuSoMII and Radiologist, NWZ Hospital Group, the Netherlands
“I love the detection indications. It is a simple yet effective solution that really helps me to report nodules faster. I directly know where to find them.”
Dr. Caroline McCann Dr. Caroline McCann Consultant Cardiothoracic Radiologist at Liverpool Heart and Chest Hospital NHS Trust Foundation, United Kingdom

Are you ready to champion AI in your radiology team, or do you want to know more?

After learning from our real-world implementations, we can guide you on the path to AI adoption. Veye Chest is currently deployed in multiple hospitals across Europe, analysing thousands of scans each week.

Get
in touch


    * Required fields.
    For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.

    Book a demo


      * Required fields.
      For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.