MeVis Medical Solutions AG presents radiological software solutions at the Arab Health 2023 from January 30 - February 2, 2023. The company's AI-enabled software solutions impressively demonstrate how new ideas and technologies can simplify radiologists' daily work and improve patient care.
Highlights include:
- Veolity LungCAD - machine-learning based lung nodule detection. Veolity LungCAD provides fully integrated AI-enabled lung nodule detection support for chest CT scans in lung cancer diagnostics to improve diagnostic quality. Complex follow-up comparisons are easy and efficient. Valuable automated segmentation with volumetric quantification of lung nodules helps radiologists to generate reproducible and comparable results that easily integrate into existing IT infrastructure and reading workflow.
- Veolity LungRead - the all-in-one chest CT reading solution. Veolity LungRead is our advanced lung cancer diagnostics software package for efficient and effective reading of chest CT scans for both lung cancer screening and incidental nodule management. Physicians benefit from AI-based CAD for better nodule detection, volumetric nodule measurements, automatic growth assessment, guideline compliant reporting (e.g. Lung-RADS, BTS, BC Lung, etc.), and an automated workflow that can save reading time compared to a PACS viewer.
- MeVis Distant Services (MDS) is our dedicated image analysis and data visualization service for complex anatomy. It visualizes DICOM image data of the liver and the pancreas based on CT and MRI image series. Interactive 3D visualizations of the individual anatomy, living donor liver transplantation (LDLTS), and complex oncologic diseases support surgeons worldwide.
- UAE sneak preview - beyond liver: What if AI-based software could help to visualize hepatic and abdominal imaging studies derived from CT and MRI scanners? Would you like to know more about our innovations we are currently working on? Talk to our experts at Arab Health 2023.
Meet MeVis at Arab Health 2023 in Dubai at the Varex Imaging booth no. H7.A30.
The Dubai World Trade Center
Dubai
United Arab Emirates
