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Veye Lung Nodules™

AI solution for lung nodule detection and management on chest CT scans

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Veye Lung Nodules™ automatically analyses hundreds of DICOM images scan to detecte, quantify, measure, classify and track the growth of pulmonary nodules. Veye Lung Nodules™ delivers its results in a fully integrated environment, within the usual radiology workflow and infrastructure.

Veye Lung Nodules™

Automatic detection and characterisation of pulmonary nodules

Veye Lung Nodules™ performs measurements in 2D and 3D settings, classifies solid and sub-solid nodules (including ground–glass opacity) and has an adjustable detection threshold


Lung nodule growth assessment if most recent prior available in the PACS

Veye Lung Nodules™ retrieves the most recent prior, if available, and automatically assesses the growth percentage and volume doubling time (VDT) for each nodule


Automatic generation of a report and integration of an additional series directly into the PACS

The report contains a complete description of every nodule detected (diameter, volume, typology, VDT, ..) and a 3D rendering


Save time by fully automating cumbersome tasks such as nodule measurements and prior comparison

Reduce the variability of intra- and interobserver measurements and standardise patient follow-up

Integrate an AI assistant tool into your existing and standard workflow and infrastructure

Save time, secure your diagnosis and optimize your workflow with Incepto

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Publications

  1. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population, John T. Murchison, Gillian Ritchie, et al. Plos One (2022) 

  2. Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT, H.L. Hempel, M.P. Engbersen, et al. European Journal of Radiology (2022) 

  3. Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital, Murchison, J. T., Ritchie, G., et al. Clinical Radiology (2021)

  4. Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system, Blazis, S. P, Dennis B.M. Dieckens et al. European Journal of Radiology (2021)

Regulatory

"Veye Lung Nodules medical device is a regulated health product that bears the CE mark, Class IIb. Notified Body: DEKRA Certification B.V. n°0344. Manufacturer: DeepHealth / Aidence B.V. Veye Lung Nodules is a diagnostic tool and shall not be used alone to recommend medical care for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact contact@incepto-medical.com for more information. Last update: 2024/11/27

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Publisher

DeepHealth is RadNet’s AI-powered health informatics subsidiary, created to empower breakthroughs in care delivery. The heart of its portfolio of solutions, the DeepHealth OS, is a cloud-native operating system that orchestrates all data to drive value across the enterprise. DeepHealth aims to elevate the role of the radiologist, beyond radiology and across the entire care pathway. It empowers all users across the care continuum with personalized workflows to make work easier and more meaningful. DeepHealth leverages advanced AI technologies in breast, lung, prostate, and brain health, as well as operational efficiencies to create end-to-end efficiency across the enterprise.