Meet DIANA
DIANA is ROPCA’s intelligent AI software designed to transform complex ultrasound data into clear, consistent and structured reports. Trained on expert-level datasets and aligned with EULAR-OMERACT standards, DIANA provides clinical specialists with precise and reproducible assessments — in just seconds. By turning raw images into actionable insights, DIANA supports clinicians in diagnosing arthritic conditions and monitoring rheumatic diseases with confidence.
How DIANA Helps
From images to insights – automatically transforms ultrasound data into structured reports.
Reliable and reproducible – every result follows the same high scientific standard.
Fast and practical – reports are ready within moments, fitting seamlessly into clinical routines.
Built for Clinical Reality
DIANA is a clinically validated reporting tool developed hand-in-hand with medical experts. Every report is designed to fit seamlessly into existing workflows, supporting doctors without replacing their expertise.
ROPCA’s AI team continuously works with clinicians to refine DIANA, ensuring both performance and transparency evolve with the needs of modern arthritis care.
DIANA & ARTHUR: The Perfect Match
DIANA is capable of evaluating ultrasound images independently, as long as they meet the required quality standards. But its full potential is realized in combination with ARTHUR. Together, they form a closed loop: ARTHUR performs standardized scans, DIANA analyzes the images, and a report is generated automatically. This seamless interaction creates an end-to-end workflow that unites consistent image acquisition with AI-powered decision support.
Want to see DIANA in action?
Take a look at a sample report and discover how AI-powered analysis supports clinical decisions.
An anonymized example is provided below to illustrate the structure and clarity of DIANA’s reporting. It demonstrates how complex ultrasound data is transformed into clinically meaningful insights.
“I think it’s a great addition alongside doctors or specialist staff.”
Patient quote from the validation study
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