QA for Artificial Intelligence
Artificial intelligence is becoming an integral part of modern radiology workflows. Yet AI systems are highly sensitive to variations in imaging data caused by different scanners, protocols, reconstruction methods, and software updates. Quality assurance provides a standardized way to evaluate and monitor AI performance, helping ensure reliable and consistent results in clinical practice.
AI Development
Phantom scan data for the development of AI applications.
Our phantoms can be used to generate abundant scan data with full control of anatomy, pathology, dose, imaging technology, and image reconstruction for the training of AI applications.
Real-life scan data can accelerate and improve the development of reliable AI applications for clinical imaging.
✓ Anatomical and pathological detail under various imaging conditions
✓ Inclusion of scarce data on rare pathologies and imaging conditions
✓ AI image quality enhancement and diagnostic AI applications
Example of AI trained on phantom data to denoise images.
Network training
Real phantom images used for AI training
Network deployment
Denoising AI network trained on phantom data
Clinically Realistic Phantoms for End-to-End Imaging and AI QA
PhantomX supplies a new generation of highly realistic phantoms for clinical imaging and AI in medical imaging. Advanced technologies, innovation and and science are used to create optimal solutions for clinical diagnostic workflows. Accelerated development, improved diagnostic outcomes and reliable AI deployment can improve patient care, efficiency and accessibility in diagnostic imaging.
