We help you standardize organ-at-risk contouring and automate segmentation in radiotherapy to streamline cancer treatment planning.
for Radiotherapy with AI
Better radiotherapy treatment with consistent quality contouring
By following official consensus guidelines, we help you increase the reliability of contours. A proper standard is a must for every clinic, and we implement it for you.
Fully automated 3D organ models that are delivered in a minute, as opposed to hours of manual work. You can focus on more complex delineation tasks and stop wasting limited resources.
Inter-observer variation is a known challenge in manual contouring. We replace variation with high consistency. You can finally limit adverse effects related to errors in delineation of structures.
With one software and a GDPR compliant architecture, radiotherapy treatment planning has never been this simple. Our cloud-based AI model seamlessly integrates with all hospital systems.
High Quality, Consistent Contouring
WHAT WE DO
MVision AI is a pioneering, cloud-based software service provider for radiotherapy treatment planning. Our AI-powered automatic segmentation tool helps to standardize contouring and automate segmentation to streamline radiotherapy treatment planning workflow. Our deep learning model produces consistent contouring in minutes while maintaining the highest standards of quality for every patient, every time.
MVision AI Segmentation Service is CE marked
MVision: your data is protected!
ESTRO2020 Web Demos
AI & Impact in Radiotherapy Treatment
AI in RT – Reading Package
Research Paper: A Deep Learning-Based Automated CT Segmentation of Prostate Cancer Anatomy for Radiation Therapy Planning
We have imaged and treated our prostate cancer patients during the same day with the help of MVision’s auto-segmentation. Now we can schedule for shorter waiting times with more confidence.
Adjunct professor & medical physicist, Docrates Cancer Center
AI speeds up a physician’s job and allows for repeated and uniform treatment plans on a hospital level, not only on an individual physician’s level. With a high number of cancer patients, having quick treatment planning can also help with waiting times
Professor and Head of Department of Oncology and Radiotherapy, Turku University Hospital