Doctor Workspace
Clinical-facing interface for reviewing relevant patient information, imaging-derived information and analytical outputs.
View WorkspaceAI-Powered Clinical Decision Support for Integrated Healthcare Data
AI-CDST brings medical imaging and structured clinical data into a unified analytical environment designed to support clinical review, research and evidence-informed decision making.
Clinical Data Is Powerful.
But Too Often Fragmented.
Medical imaging, clinical history and systemic health information are frequently reviewed in separate workflows.
AI-CDST is being developed to create an integrated analytical environment where heterogeneous healthcare data can be examined together and relevant patterns can be surfaced for professional review.
Medical Imaging
Imaging studies and the quantitative features derived from them.
Clinical & Systemic Data
Structured history and relevant systemic health information.
Analytical Intelligence
Machine-learning methods that help surface patterns for review.
One Platform. Multiple Clinical Data Layers.
01
Imaging Analysis
Support analysis of medical imaging and quantitative imaging features.
02
Clinical Data Integration
Bring structured clinical and relevant systemic health information into a unified analytical workflow.
03
Decision Support
Present analytical outputs and relevant patterns in a structured interface for clinician or researcher review.
How It Works
- Clinical & Imaging Data
- Secure Data Processing
- AI / ML Analytical Layer
- Integrated Clinical View
- Professional Review
AI-CDST is designed around human oversight: analytical outputs support professional assessment rather than replace clinical judgement.
Designed for Different Clinical and Research Workflows
Analytical Workspace
Environment for structured analysis, research workflows and model/data evaluation.
Explore AnalyticsDemonstration Environment
Controlled environment for product demonstrations, evaluation and partner discussions.
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Built at the Intersection of
Clinical Research, Data Science and AI
AI-CDST is being developed as a clinical decision-support technology combining healthcare domain knowledge, medical imaging analysis, structured data analytics and machine-learning methods.
Research Collaboration
We welcome discussions with clinical, academic and healthcare organisations interested in research collaboration, validation and pilot opportunities.
Responsible AI by Design
Human Oversight
Clinical professionals remain central to interpretation and decision making.
Explainability
Analytical outputs should be presented with sufficient context for professional review.
Data Protection
Architecture should support appropriate privacy, security and data-governance requirements.
Auditability
System interactions and analytical workflows should be designed with traceability in mind.
Exploring AI-Enabled Clinical Decision Support?
We are open to conversations with healthcare organisations, researchers and innovation partners interested in evaluating AI-CDST and exploring potential pilot or research collaboration opportunities.
Research
Explore validation and joint research with academic and clinical partners.
Research CollaborationExisting users
Doctor, Analytical and Demonstration workspaces are available through the secure portal.
Access Secure Portal →