AIQUALIS Software

Monitor your AI Contouring Quality in Clinical Practice

Streamline your clinical contouring workflows.

AIQUALIS is a software solution designed to help radiotherapy teams monitor and improve the quality of AI-based auto-contouring in clinical practice. By providing independent contour evaluation, intuitive 3D visualization, and advanced statistical analysis, AIQUALIS enables users to identify workflow changes, detect potential sources of bias, and maintain confidence in AI-assisted contouring. Supporting alignment with AAPM and ESTRO guidelines, AIQUALIS helps clinics enhance efficiency, consistency, and patient care while ensuring continuous quality assurance of their AI-powered workflows.

Improve AI safety and equality.

AI contouring models are being improved constantly to make them more accurate and robust. AIQUALIS allows you to detect changes in your clinical auto-contouring workflow such as automation bias or unexpected changes in the AI contouring model. AIQUALIS also allows you to identify potential sources of bias associated with AI-based contouring by allowing you to aggregate results by patient groups or clinical teams. Performing QA of your AI-based contouring with AIQUALIS can increase your confidence that your patients are receiving care with all the benefits of AI-based contouring, while supporting alignment with AAPM and ESTRO guidelines.

Visualize your work. Save time.

AIQUALIS allows you to visualize the degree of AI contour adaptation in clinical practice and to provide feedback to your AI contouring provider to help them improve their model. It provides both quantitative evaluation measures and an intuitive 3D visualization for each individual structure, allowing users to quickly identify and better understand the nature of contouring differences. Through continuous improvement, you can streamline clinical workflows and save even more time.

AIQUALIS Software Features

Learn More About the AIQUALIS Workflow

What Users Say

“My initial experience with PTW AIQUALIS was benchmarking AI contouring models, but I was surprised by its value for clinical contour review. By clearly highlighting contour deviations and editing patterns, it can help improve both AI model performance and contouring consistency, making it a powerful tool for quality improvement and clinician training.”

James Hellyer, Medical Physicist
GenesisCare, Australia

“At the German Medical Institute in Cyprus, AIQUALIS is an essential part of how we manage AI auto-contouring in routine radiotherapy. Once an AI model is deployed clinically, it’s easy to assume the hard work is done. However, performance in the real world can diverge from commissioning benchmarks in ways that aren’t immediately obvious. AIQUALIS gives us a structured, quantitative way to detect those divergences early, track correction patterns across structures over time, and demonstrate to our clinical team that the AI is performing as expected. AIQUALIS is what turns AI deployment from a one-time event into an ongoing quality assurance process.”

Paul Doolan PhD MIPEM, Director of AI, Senior Medical Physicist
German Medical Institute in Cyprus

“We’re very satisfied with our decision to integrate a professional auto-contouring monitoring system into our clinical environment. AIQUALIS enables us to monitor the editing behaviour of auto-contours that are generated during the preparation of radiotherapy treatment plans for all our patients. We are now able to monitor consistency in editing behaviour and detect instances where the auto-contouring models fail. This is leading to improvements in the technical implementation and clinical consistency of organs of interest delineation. We are also pleased with the level of support received during the implementation of AIQUALIS.”

Dr. Charlotte Brouwer, Team leader Medical Physics,
University Medical Center Groningen

All Parameters at a Glance

3D Visualization

Understand where edits are being made to AI contouring. 3D visualization helps your clinical team better understand and communicate. Rotate the structure for a complete view.

Analyze by cohort

Identify AI bias or variations in clinical practice by comparing different cohorts.

Select the data to be used

Select the data to be used for the x-axis in the temporal plot. Choose between “Automatic contouring date” and “Clinical contouring date”.

Comparison made easy

For a convenient comparison, click the “Compare” button to duplicate your result page.

Statistical overview

Quickly identify outliners in clinical practice for further investigation with the statistical overview of clinically relevant quantitative measures. Outliers may result from failed AI contouring or inadequate contouring verification.

Track and detect

Identify changes in your workflow over time with the temporal view and improved statistical process control. Workflow changes can result from unexpected changes in the AI auto-contouring model or from automation bias creeping into the clinical workflow.