Title: End-to-End Testing

Discover how KushoAI revolutionises end-to-end testing in stereotactic radiotherapy with cutting-edge automation and multi-modality solutions.

Introduction

End-to-end testing in stereotactic radiotherapy is the gold standard for ensuring patient safety. From MRI and CT imaging through treatment planning, patient positioning and irradiation, every step demands precision better than 1 mm and < 3 % dosimetric deviation. Traditionally, teams rely on physical phantoms—like the RUBY phantom with custom inserts—to validate their workflows. But manual phantom-based QA can be slow, labour-intensive and limited in coverage.

Enter KushoAI. Our AI-driven platform brings end-to-end testing into the digital age. By automating test generation, execution and maintenance, we empower quality teams to focus on what matters: delivering safe, effective care.

Traditional End-to-End Testing in Radiotherapy

Most radiotherapy centres use a phantom-based end-to-end testing approach:

Imaging validation with MRI- or CT-visible inserts
Geometric checks using rods and markers for kV/MV-CBCT, surface guidance, ExacTrac
Dosimetric verification via ionization chambers or film
Workflow tests covering SRS, FSRT, SBRT and Multimet plans

Strengths:
– Hands-on verification of hardware and software
– Direct measurement of geometric accuracy
– Proven methodology endorsed by AAPM TG 101 and DEGRO/DGMP

Limitations:
– Manual setup and alignment
– Limited test scenarios per run
– Time-consuming image fusion and analysis
– Single-point dosimetry in complex plans (Multimet)

Why AI-Assisted Test Automation Matters

In software development, end-to-end testing automation has cut release cycles by over 50 % and boosted test coverage above 90 %. KushoAI takes those proven principles and applies them to radiotherapy QA software:

AI-Generated Tests for every module: imaging import, distortion correction, dose calculation
Continuous Updates aligned with code changes and device firmware
Scalable Coverage across multiple workflows, linac models and imaging systems

No more manual script writing, version mismatches or forgotten test cases. KushoAI’s suite adapts as fast as your developers and medical physicists innovate.

Phantom QA vs. AI-Driven Automation: A Side-by-Side Comparison

Criterion	Phantom-Based QA	KushoAI End-to-End Testing
Setup Time	Hours to days	Minutes
Test Coverage	5–10 scenarios per insert	Thousands of scenarios automatically
Maintenance	Manual rebuilds, re-prints, re-scans	Real-time updates with code changes
Geometric Accuracy Check	Physical rods, visual fusion	Algorithmic image comparison, HU checks
Dosimetry Points	Single-point, limited positions	Multi-point via API calls and emulators
CI/CD Integration	Not supported	Plug-in ready for Jenkins, GitLab CI

KushoAI’s Core Offerings for Radiotherapy QA

AI Test Suite Generator
Instantly produce comprehensive test suites tailored to your radiotherapy software. Cover:
– MRI/CT import and distortion correction
– Dose calculation accuracy (collapsed cone, Monte Carlo)
– Plan transfer between TPS and linac control systems
Automated Testing Engine
Schedule and run tests across virtual linac environments:
– Validate kV-CBCT, MV-CBCT and surface guidance modules
– Simulate ExacTrac workflows
– Verify dynamic tumor tracking logic
Custom Scenario Generator
Spin up complex patient journeys with one click:
– SRS for single brain mets
– FSRT and Multimet for multiple targets
– SBRT with respiratory motion or gimbal-based tracking
Real-time Updates
Auto-adapt your test suite when:
– TPS or linac software releases a new build
– Imaging protocols change
– New modalities (e.g., MR-Linac) are added

Benefits of AI-Driven End-to-End Testing

Over 90 % Automation Coverage out-of-the-box
Continuous Real-time Feedback shortens release cycles
Reduced Manual Workload lets physicists focus on critical tasks
Scalable Across Regions (North America, Europe, Asia-Pacific) and multi-vendor equipment
Seamless CI/CD Integration unifies DevOps and QA

Case Study: Streamlining SRS QA

A leading cancer centre ran manual phantom tests for each of their ten SRS plans. Setup, imaging and dosimetry took two days per cohort. After switching to KushoAI:

Test suite generation: 10 minutes
Automated runs on virtual linacs: 2 hours
CI/CD feedback loop: instant alerts for failures

Result? 80 % faster QA cycles and consistent end-to-end testing every night before treatment slots.

Getting Started with KushoAI

Request a Demo at our website
Onboard Your Team with hands-on training
Integrate with Your CI/CD pipeline
Scale Across Workflows and linac fleets

Ready to transform your radiotherapy QA process? Let KushoAI empower your team with true end-to-end testing automation.

Call To Action
Discover how KushoAI can elevate your radiotherapy quality assurance.
Visit: https://www.kusho.ai