Imaging workflow decision-support concepts
OraDigit explores interfaces that organize workflow context and make limitations visible. Current public tools do not interpret patient images, make clinical decisions, or establish faster or more accurate care.
How We Support Clinical Decision-Making
- Real-Time Dashboards
Aggregate imaging data, lab results, and AI predictions into intuitive interfaces for physicians. - AI-Driven Flagging Systems
Automatically identify suspicious findings or outliers using predictive models trained on PET/CT and radiology datasets. - Explainable AI Visuals
Deliver saliency maps, confidence scores, and heatmaps to help clinicians understand model outputs. - Workflow Integration
Future integration research may consider PACS, RIS, dashboards, APIs, and interoperability standards after security and ownership review. - Alerting & Escalation Logic
Notify care teams when urgent, abnormal, or unexpected values are detected in imaging or data streams.
Who Benefits
- Radiology Departments
Evaluate transparent workflow-support concepts while retaining professional interpretation and responsibility. - Oncology & Nuclear Medicine Units
Monitor therapeutic progress, compare response over time, and receive intelligent alerts. - Hospital Administrators
Track performance metrics and streamline imaging workflow using real-time analytics. - Clinical Researchers
Visualize and audit AI predictions and imaging annotations for reproducibility and trust.