AI powered by RUBEE™

Forward-thinking and clinically relevant

‘Augmented Intelligence’ does just that: offering a set of tools that let your clinicians maximize the value of their own expertise, increase their productivity  and enhance the diagnostic process. But to get the real benefits to your clinicians, the tools need to be embedded right into the workflows and systems they use every day.

RUBEE™ for AI, as part of your Enterprise Imaging platform, offers a seamless AI experience for your clinicians.

Carefully curated ‘packages’ embed best-of-class AI apps that work seamlessly to support your real clinical workflow from start to finish.  With RUBEE for AI, you get more out of your AI investments, while enriching the value of your Enterprise Imaging.
It’s a win-win-win for your hospital, your clinicians and your patients!

INNOVATION – RUBEE™ for AI

With RUBEE™ for AI, you can embed our AI specialty packages into your clinical workflows.

RUBEE visualizes the metadata generated by algorithms and uses that information to automate and optimize your workflows, all within your Enterprise Imaging ecosystem.

  • Task assignments and case distribution are smoothly automated.
  • Hanging protocols get ‘smart’, with dedicated reading protocols.
  • Report automation by auto-including AI results into the reporting workflow.

RUBEE™ for AI helps your clinicians to focus their efforts on cases that require immediate attention.

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“Reduce 3D reading time
to about 35 seconds.”

Combining the Breast AI package with the workflow features of RUBEE™ for AI, offers radiologists advanced visualizations and workflow optimization.

The Breast AI package sorts and rates images intelligently using a deep learning algorithm. With automated task prioritization, smart display of findings and dedicated reading protocols, it  speeds up reading, optimizes workflow and improves early detection.

Evidence based benefits:

  • ­Improves both 2D and 3D breast cancer detection accuracy
  • Catches cancers earlier
  • Enhances Radiologist performance
  • Reduces both reading times and workload

The workflow is automated, the radiologist’s workload is significantly eased, and patients are more quickly started on their diagnostic pathway.

*FDA cleared and CE marked for both 2D and 3D mammography

Discover the Breast AI Package

“29% reduction
in missed nodules.”

The CT Lung AI package enables advanced visualization and workflow automation and optimization, dedicated to the CT Lung specialty.

It increases the accuracy of reading lung CTs, while reducing overall reading time, for greater productivity.

Reliable and consistent results support confident, faster diagnoses, to get the patient onto a treatment pathway more quickly. Automated comparison of prior and current images will help identify new lesions and measure changes, for secure follow-up

  • Processing of scans from a wide range of manufacturers and acquisition protocols
  • Unprecedented detection, segmentation and characterization accuracy of lung nodules
  • Support for non-contrast and contrast chest CT
  • Reduced burden of visual search and assessment by suppressing vascular structure

*ClearRead CT is the first FDA-cleared system for concurrent reading, for all nodule types

Discover the CT Lung AI Package

“Self-learning algorithms offer tremendous opportunities in many domains. In radiology, AI will definitely change how services are delivered. Agfa HealthCare is investing in these new AI technologies. We will integrate them into the Enterprise Imaging platform, and thus into our own workflows. “

Prof. Dr. Eric Achten
Ghent University Hospital
Belgium

Distinguishing Hype from Reality – A Frost & Sullivan White Paper

A Practical Guide for the Implementation of Artificial Intelligence in Medical Imaging

Approximately 75% of all clinical decisions are based on medical imaging, and a large quantum of this imaging data is stored in a digital format. But for a long time, this digital data was left unutilized because of the lack of appropriate technologies to extract useful insights from this data.

The potential of Artificial Intelligence to improve efficiency, reduce operating costs and improve quality of care indicates it will transform the medical imaging industry significantly.

This White Paper explores probable use cases and outlines things to consider when implementing Artificial Intelligence technology.
To help decision makers understand the potential of AI and how it might add value in the context of improving care quality and operational efficiency.

Download the White Paper

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