RUBEE® for AI
Augmented Intelligence for radiology workflows
Artificial Intelligence (AI) in medical imaging and new imaging techniques provide radiologists and other diagnosticians with better access to deeper anatomical and clinical details.
At the same time, these innovations highlight the need for integrated imaging and data informatics interaction to support fast action on clinically relevant findings that require urgent attention.
AI in medical imaging, powered by RUBEE®
AGFA HealthCare’s RUBEE® for AI
RUBEE’s highly customizable toolkit puts the real benefits of Augmented Intelligence into your radiologists’ hands.
With advanced visualizations, workflow optimization and automation, RUBEE lets your clinicians focus on cases where their expertise creates true value. And it enables you to make the most of your AI for medical imaging investments.
Advanced visualizations
Disease-oriented specialty packages
Using our long-term expertise in imaging IT, we have created complete Augmented Intelligence for radiology packages for specific clinical use cases.
The carefully selected, specialty-focused algorithms are seamlessly integrated in your Enterprise Imaging platform. Powered by RUBEE for AI in medical imaging, they can fully address your clinical, academic and research needs.
Workflow orchestration
RUBEE and Enterprise Imaging harness the power of Augmented Intelligence for radiology to streamline and accelerate your workflows, enterprise-wide.
And the AI for medical imaging packages and clinical applications support you to maximize the value of your imaging activities.
Automated triage
Using the metadata generated by your AI apps, RUBEE for AI in medical imaging finds ways to speed up repetitive tasks.
It prioritizes worklists, follows escalation rules and automates task assignments and case distribution, intelligently.
Smart hanging protocols
RUBEE for AI in medical imaging compares display protocols, and then uses them to automate current and prior image display, by comparing display protocols.
Reports and notifications of critical findings
Your critical findings are no use if they stay in your PACS database. RUBEE automatically extracts Artificial Intelligence results and adds them to your report templates, with sectional reporting, automating reporting and subsequent notifications.
Disease oriented specialty imaging packages.
Enjoy the benefits of the specialty Artificial Intelligence packages powered by RUBEE
- Chest-X-Ray AI Visualisation Package
“17% Improved Nodule detection” “19 % Faster Reads” - Chest X-Ray AI Analysis package
“97-99% AUROC – Very high-performance level” “34% reduced reading time” - Breast AI Insight package
“Triage up to 60% of all cases without human interpretation” “Reduce workload by more than half (½) in mammogram interpretation.” - CT Lung AI package
“29% reduction in missed nodules.”
Register for Virtual Lectures to boost your productivity
RUBEE® for AI
Evidence-based application of Augmented Intelligence
Discover how to improve productivity, diagnostic intelligence and patient care quality with disease-oriented AI packages for breast, chest, and lung analysis.
Presented by: Dr. Anjum Ahmed – MBBS, MBA, Chief Medical Officer & Olivier Demol – Product Manager AI
RUBEE® for AI specialty packages
“Triage up to 60% of all cases without human interpretation”
“29% reduction
in missed nodules.”
“97-99% AUROC”
“34% reduced reading time”
“17% Improved Nodule detection”
“19 % Faster Reads”
Product may not be available in all regions, contact your AGFA HealthCare representative for details
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.
Princess Alexandra hospital NHS trust’s journey of transformation
The Princess Alexandra Hospital NHS Trust (PAHT) in the UK has continued to lead the path towards digital transformation in its Radiology Department when the hospital embarked upon a consolidated imaging platform strategy.
This has helped the hospital to transition its imaging department from traditional PACS to the newer Enterprise Imaging platform from AGFA HealthCare.
With an Enterprise Imaging strategy, Princess Alexandra was able to establish a core framework for diagnostic image consolidation, multispecialty collaboration and a modular strategy that would help the hospital roll out future innovations when they are introduced, on a secure and modular platform.
When AGFA HealthCare launched the RUBEE for AI framework, Princess Alexandra Hospital NHS Trust’s leadership began assessing their options on the path towards AI, and henceforth began the internal work, at the hospital, on the business case for AI.
“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
