PROJECT TEAM
Martin Lundsgaard Hansen, Chief Physician
Poul Larsen CEO
Mathias, Programmer
Malin, Physicist
Erik, Physicist
Niels Henrik Clausen, Chefkonsulent
Pernille, Lawyer
THE NEED
Current methods for monitoring X-ray machines require up to 14 manual exposures per system each month, extensive documentation, and subjective image analysis—consuming hundreds of hours annually per department. As healthcare systems face staff shortages, there's an urgent need to reduce administrative workload and ensure objective, consistent equipment control.
THE SOLUTION
AI-Cons reduces the required exposures from 14 to 3 per system and automates the entire analysis process. The AI algorithm evaluates phantom images and DICOM data to assess quality, dose, and any deviations from reference values. Results are delivered in real time via an integrated monitoring system, ensuring faster, safer, and more reliable checks—freeing up clinical staff for patient care.
AI-Cons: AI-constancy control with x-ray equipment - Rigshospitalet
Call 3 - 2022
500.000 DKK
Clinical Area
Radiology
Technology
AI-based equipment monitoring
PROJECT SUMMARY
AI-Cons is an AI-powered system for automated constancy control of X-ray equipment, replacing today’s time-consuming and subjective quality checks with a faster, more accurate, and fully automated process.
CLINICAL IMPACT
The system reduces annual staff time spent on constancy control by over 70%, allowing radiographers and physicists to focus on patient examinations. By providing objective, high-precision monitoring, AI-Cons improves patient safety and supports ALARA compliance by minimizing unnecessary radiation exposure. It ensures better quality assurance in critical care settings like trauma and neuro-intervention rooms.