RevealDx recently appointed Contextflow as its exclusive distributor in the European Union (EU) and selected territories, with the companies also offering trial installation discounts for select customers.
The companies will launch their integrated software at the upcoming International Association for the Study of Lung Cancer (IASLC) World Conference on Lung Cancer in Vienna in August.
RevealDx has developed RevealAI-Lung, a computer-aided detection (CADx) software application that characterizes lung nodules. The company recently completed a clinical trial and is highlighting how the software provided "significant improvement" in both early detection of malignant nodules and reduction in false positive nodules in the study.
Contextflow, meanwhile, develops artificial intelligence (AI)-based medical devices for radiologists evaluating chest CT images. One such technology is Search Lung CT, a clinical decision support system that detects, quantifies, and visualizes key disease patterns and lung nodules in CT lung images.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
