Experts in AI-powered lung image analysis


We combine medical science and deep learning technology to enable advanced treatment development in clinical trials and to support pulmonary clinical care across the globe.

15Mio+ images analyzed


600+ clinical installations


40+ countries worldwide


200+ scientific papers


Our customers and innovation partners


Our Expertise

High-precision quantitative analysis of thoracic CT scans for clinical applications


Quantification of anatomical volumes, parenchymal disease distributions, airway morphology, vascular morphology, and fissure completeness.

Pharmaceutical drug
and treatment development

Comprehensive clinical trial services, from study design and inclusion criteria to translation to clinical practice.

Transforming bronchoscopic and surgical interventions

Enabling innovation along the complete clinical intervention pathway.

Powerful insights for personalized clinical care

Solutions for reliable and fast diagnosis, quantification of pulmonary pathologies and monitoring of chronic lung diseases.

Knowledge, quality and service with proven technology


Ready to apply AI image analysis to get better outcomes faster?

Let us help you find the perfect solution!


Talk to one of our experts to learn more.

Research & Innovation Projects


COPDGene: Genetic factors of chronic obstructive pulmonary disease

VR visualization of lungs for pre-operative planning of segmentectomy

Collaborative efforts to understand and deal with COVID-19

Papers & Publications


    • Fully Automatic Assessment of Bronchus-Artery Dimensions and Ratios, Mucus Plugs, and Low Attenuation Regions in Cystic Fibrosis Patients Before and After Elexacaftor-Tezacaftor-Ivacaftor | American Thoracic Society Conference
    • Cross-sectional Analysis of Automated Mucus Plug Quantification and Airway Wall Thickness in COPD Using AI-based Detection | American Thoracic Society Conference
    • Fully Automated Mucus Plug Quantification on Chest CTs and Its Correlation With All-cause Mortality | American Thoracic Society Conference