ROPCA provides an integrated platform that automates musculoskeletal ultrasound for arthritis diagnosis. Its robotic scanner, ARTHUR, performs standardized joint scans while the AI engine, DIANA, instantly assesses image quality and generates structured, CE‑marked reports, eliminating operator variability and increasing patient throughput for rheumatology and radiology departments.
Funding
$4.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Arthritis diagnosis often relies on manual ultrasound examinations that are time‑intensive, operator‑dependent, and subject to variability, limiting throughput and consistency in clinical settings.
Solution
ROPCA offers an integrated platform that combines a robotic ultrasound scanner (ARTHUR) with an AI‑driven analysis engine (DIANA) to automate image acquisition and interpretation for arthritis patients. The robotic arm performs standardized scans without operator bias, while DIANA processes the data in real time to generate structured, CE‑marked reports. This workflow frees specialists to focus on clinical decision‑making and patient interaction, improves diagnostic consistency, and enables higher patient throughput in busy outpatient environments. The system is designed to augment existing clinical workflows rather than replace clinicians, providing reliable, reproducible results across 24/7 operations.
Target Audience
Primary customers are rheumatology and radiology departments in hospitals and outpatient clinics that perform musculoskeletal ultrasound for arthritis assessment.
Features
- Robotic arm (ARTHUR) that conducts fully automated, repeatable ultrasound scans of joints
- AI engine (DIANA) that performs instant image quality assessment and disease quantification
- Structured, CE‑marked reporting format that integrates with electronic health record systems
- Objective, operator‑independent measurements that eliminate subjectivity and reduce variability
- Real‑time processing delivering immediate diagnostic insights to support clinical decisions
- Scalable workflow optimized for high‑volume, 24/7 imaging environments