Agfa Launches RUBEE for AI at RSNA 2020

RUBEE for AI lays the foundation and framework for analytically intelligent “clinical packages” embedded within Enterprise Imaging, helping improve radiology efficiency with enhanced decision support. RUBEE forms the core of the Enterprise Imaging platform. RUBEE helps visualize the metadata generated by the AI algorithms, and then uses that information to automate and optimize the clinical workflows, supporting radiologists to increase productivity and enhance informed decision making, while also maximizing the value of their own expertise.

The market for healthcare-based AI algorithms has boomed, leaving hospitals faced with an increasing number of individual applications to choose from. RUBEE for AI takes away the time-consuming guesswork of choosing and implementing each algorithm, with specialty AI packages that address specific clinical needs. The AI applications have been carefully selected to verify they come from reliable solution providers, use the right datasets, follow industry standards, and are integrated seamlessly. Hospitals may also decide to use RUBEE for AI to embed their own choice of AI applications, including for research and academic use leveraging the Enterprise Imaging academic teaching and peer learning workflows.

With the RUBEE for AI, specialty packages are seamlessly embedded into radiology workflows. The Breast AI package provides powerful tools for cancer risk-based triage, along with natively embedded CAD AI visualizations and advanced 2D/3D mammography tools, while the CT Lung AI package improves visualization of nodules and comparisons, enables sorting and triage, and smart display of AI findings.

“With Enterprise Imaging, Agfa HealthCare has already taken a forward thinking approach, with a single, multi-specialty industry recognized imaging platform,” said Dr. Anjum Ahmed, Chief Medical Officer, and Global Director of Innovation at Agfa HealthCare. “RUBEE for AI leverages this platform, and enables a care pathway focused curation of niche and specialty focused AI applications. This approach is much more clinically valuable, analytically intelligent and productivity driven compared to a separate AI platform or marketplace. And by providing radiologists with carefully curated AI decision support tools, embedded in their Enterprise Imaging solution, we support them to maximize the value of their own skills and expertise, and become consultative powerhouse of evidence-based intelligence.”