eyonis by median technologies logo

Catching the unseen

What is eyonis®

eyonis® is a suite of Software as a Medical Device (SaMD) that leverages advanced Data Science (DS) & Artificial Intelligence (AI) technologies to analyze medical imaging, supporting radiologists & healthcare professionals in identifying cancers at the earliest stage, even when invisible to the human eye.

abstract image of a human figure in X-ray

Our Mission

Shifting the imaging diagnostic paradigm by designing innovative AI/ML tech-based SaMDs and supporting radiologists & healthcare professionals worldwide in screening, early diagnosis & treatment of cancer.

Our Vision

Establishing eyonis® as a Standard-of-Care (SoC) to reduce cancer burden by helping radiologists & healthcare professionals to identify disease at the earliest stage, allowing better care while avoiding unnecessary medical procedures & reducing healthcare costs.

abstract image of 3D lungs with highlighted nodules
eyonis LCS logo

Software as a Medical Device for Lung Cancer Screening (LCS)

eyonis® LCS is an AI/ML technology-based end-to-end CADe/CADx Software as a Medical Device (SaMD) developed to aid cancer diagnosis and improve clinical management of patients, designed to:

enable early detection, localization & diagnosis of solid & part solid pulmonary parenchymal nodules*, 4-30 mm Longest Average Diameter (LAD) on Chest Low-Dose Computed Tomography (LDCT) images

generate DICOM file result report, PACS available & compatible with every radiologist’s viewer

list all probably benign, suspicious, very suspicious, lung nodules present in LDCT image series

score nodules individually by giving a malignancy score & providing a Likelihood of Malignancy (LOM%) from 1% to 93%.

*Pure ground glass, mediastinal lesions and masses (including but not limited to hilar masses) are excluded
eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

eyonis® LCS processing chain

graph showing the eyonis LCS processing chain
eyonis® LCS contains methods protected by patents granted in the U.S and pending in other countries

PATENT US 11 810 299 “Method and system for computer aided diagnosis using ensembled 2D and 3D neural networks based on medical images”

PATENT US 12 272 063 “Apparatuses and methods for training and using computational operations for digital image processing”

eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

For each nodule detected eyonis® LCS result report provides

Slice number icon
Slice number
(feet to head & head to feet)
Malignancy Score on 
a scale icon
Malignancy Score from 1 to 10
(color-blind friendly)
Diameters icon
Diameters (Long/Short/Average) 
& Volume
Full slice snapshot containing nodule icon
Full slice snapshot
containing nodule
Close-up snapshot of nodule
Close-up snapshot
of nodule
eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

Robust AI algorithm trained, tested and validated on independent enriched U.S. and EU cohorts, achieving performance above the current state of the art

Median Technologies, data on file

AUC: Area Under the Curve is a discrimination measure which tells us how well we can classify patients in two groups: those with and those without the outcome of interest

eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

With eyonis® LCS, our innovative CADe/CADx SaMD, we empower healthcare professionals to reduce both false positives & false negatives, standardize diagnosis, and save time and costs

93.3%

of cancer cases identified (sensitivity)

92.4%

of benign cases identified (specificity)

66%

False Negative reduction*

68%

False Positive reduction*

99.9%

of Negative Predictive Value (NPV)

* Estimated from Jonas DE, et al. Screening for Lung Cancer With Low-Dose Computed Tomography: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA. 2021 Mar 9;325(10):971-987.

eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

Flexible & seamless deployment

Cloud-based DICOM images are collected via the eyonis® Gateway* & sent to the eyonis® Cloud for processing. The final result report is then returned to the Institution

Local hosting eyonis® LCS & eyonis® Gateway are locally installed in the Institution

*eyonis® Gateway enables communication between PACS & eyonis® product to ensure image transport

eyonis® LCS is pending 510(k) clearance and CE marking. The device is not currently cleared or available for commercial sale in the United States or Europe

Posters

  • Radiologists perception on AI/ML Software as a Medical Device (SaMD) unveiled via post-study usability survey: key assets to redefine Lung Cancer Screening practice – Presented at the ESMO AI & Digital Oncology Congress in Germany – November 2025
  • AI-assisted Lung Cancer Screening: Results from REALITY, a pivotal validation study of an AI/ML-based software – Poster presented at the American Thoracic Society Congress in San Francisco – May 2025
  • Budget impact model of enhanced Lung Cancer Screening with AI/ML tech-based software as a medical device (SaMD) on a us cohort and private payer perspective – Poster presented at ISPOR US in Montréal – May 2025
  • AI/ML-based lung cancer detection and characterization for lung cancer screening: results from the REALITY study on early-stage lung cancer – Presented at European Lung Cancer Congress in Paris – March 2025

Certifications and partnerships

ISO 27001
ISO 27001
HDS (Hébergement de Données de Santé – Health Data Hosting)
HDS (Hébergement de Données de Santé)
IHE Connectathon Seal

During the 2025 Connectathon, Median eyonis® team successfully validated eyonis® LCS interoperability and data consistency.

Four IHE profiles as Evidence Creator

One IHE profile as Time Client

IHE AIR as Evidence Creator
IHE KIN as Evidence Creator
IHE SWF.b as Evidence Creator
IHE ED as Evidence Creator
IHE CT as Evidence Creator

Four IHE profiles as Evidence Creator

IHE AIR as Evidence Creator
IHE KIN as Evidence Creator
IHE SWF.b as Evidence Creator
IHE ED as Evidence Creator

One IHE profile as Time Client

IHE CT as Evidence Creator

By bringing eyonis® LCS to healthcare professionals we ensure that every patient at high-risk of lung cancer receives the right diagnosis at the right time, as we believe in a world where lung cancer can be always cured

Median Technologies collects and process the minimum relevant information to treat your query efficiently. To know more about how we store and process your personal data and about your rights, see our personal data protection policy.