DeepUnity PACSonWEB 3.4.100
Transforming Radiology Workflows
We’re thrilled to announce the upcoming release of DeepUnity PACSonWEB 3.4.100, set to launch in December 2024. This update brings powerful tools for radiologists and IT managers, designed to optimize efficiency, improve diagnostics, and support structured reporting.

DeepUnity AI Cube Integration: AI-Driven Efficiency
As healthcare evolves, trends like an ageing population, a shortage of radiologists, and budget constraints create a pressing need for tools that enhance efficiency and diagnostic quality in medical imaging. Artificial Intelligence (AI) is a key asset, streamlining workflows and improving accuracy when integrated into IT systems.
At Dedalus DIIT, our Adaptive Imaging strategy meets these challenges by connecting customers with cloud-based AI marketplaces. DeepUnity PACSonWEB now connects directly with cloud-based AI marketplaces through DeepUnity AI Cube, providing actionable insights within your workflow.
To achieve our vision, we’ve made key enhancements to DeepUnity PACSonWEB:
- Connector Development: We integrated DeepUnity PACSonWEB with leading cloud-based AI marketplaces for smooth data exchange while preserving patient privacy.
- Deep Integration of AI Results: AI findings are now seamlessly incorporated into worklists and visualization areas for quick access by radiologists.
- Streamlined Data Flow: Enhances communication between DeepUnity PACSonWEB and AI platforms.
- Data De-identification: Protects patient privacy during data transmission.
- Orchestration Engine: Manages which imaging results need processing.
- Standardization: Ensures consistent visualization within the worklist and viewer.
- Automatic Tagging: Designates AI results as ‘private’ for restricted access. Users will be able to see when data has been generated by AI.
- AI Study Status Tracking: Allows radiologists to monitor AI processing easily.
- Color-Coded Findings: Highlights important AI findings directly in the worklist.
- Dynamic Worklist Prioritization: Adjusts priorities based on AI insights.
- Private Series Functionality: Restricts AI result access to authorized users only.
- Dedicated Reading Protocols: Integrates AI results into the reading workflow.
- Deep Integration of AI Findings: Incorporates CAD findings from leaders like iCAD and ScreenPoint directly into the viewer.
As teleradiology providers support multiple imaging clients, efficient workload management requires worklists that group studies across sources. The latest release of DeepUnity PACSonWEB introduces cross-source worklists that enable teleradiologists to:
- Manage Multi-Client Workflows Efficiently: Access and organize studies from multiple clients on a single platform, simplifying complex workloads.
- Seamlessly Connect via Cloud Gateway: A cloud-native gateway provides easy integration with client sites, ensuring streamlined data flow.
- Enable Flexible, Remote Work: Radiologists can work from anywhere, with centralized access improving oversight and service quality.
- Simplify Report Delivery: Easily send reports back to each client, enhancing operational efficiency and response time.
With report jump fields, radiologists can create structured, standardized reports effortlessly, enhancing communication with referring physicians.
- Streamlined Reporting: Predefined fill-in fields allow quick, consistent data entry for more accurate reports.
- Customizable Fields: Mandatory placeholders help ensure complete, thorough documentation.
The Recognosco Atlas speech recognition engine enhances reporting accuracy with AI-powered, natural speech-to-text conversion.
- Improved Accuracy: Robust against variations in speech style and background noise.
- Workflow Integration: Seamlessly fits within existing reporting processes for minimal disruption.
For the first time, IT managers can configure DICOM devices directly within DeepUnity PACSonWEB, improving control and flexibility.
- Centralized Control: Manage imaging modalities easily without external support.
- Autonomy and Responsiveness: Make real-time changes, reducing downtime and support dependency.

Stay tuned for the December release of DeepUnity PACSonWEB 3.4.100, and discover a more efficient, connected, and responsive radiology experience. For more details, reach out to our team at Dedalus DIIT.
Embrace the future of radiology with DeepUnity PACSonWEB.
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Best regards,
Dedalus Innovation Team