Research space for clinical AI in medical imaging workflows.
OraDigit Labs is where we design, test, and mature clinical AI tools for imaging operations: order validation, PET quantification, response tracking, workflow intelligence, and future clinical concordance analytics.
What OraDigit Labs is building
Labs is the product incubator behind OraDigit's clinical AI platform, focused on real problems seen in imaging orders, PET/CT quantification, oncology response tracking, documentation quality, and operational decision support.
RadOrder Helper
Imaging order validation for PET/CT, CT, and MRI workflows. The goal is to reduce clarification calls, improve indication quality, and support payer-ready documentation.
- Structured indication generation
- Modality, region, context, and condition logic
- Clinical guidance and RIS/EMR export
OraQuant
PET quantitative workflow support focused on FDG PET/CT comparability. OraQuant considers glucose, uptake time, dose timing, and acquisition context.
- Glucose-aware SUV context
- Uptake-time comparability support
- Structured JSON export for analytics
PET Response Tracker
Longitudinal PET workflow for baseline and follow-up studies, percent SUV change, treatment response, and PETQuant confidence integration.
- Baseline and follow-up tracking
- Percent SUV change and response category
- Future PERCIST-aligned SULpeak workflow
Research tracks
These are the deeper areas OraDigit Labs is exploring as the platform matures from workflow tools into clinical AI infrastructure for imaging teams.
Clinical Concordance Analytics
Compare reports, physician interpretations, PET response patterns, and workflow variation to identify agreement, drift, and decision-quality signals.
Workflow Signal Mapping
Identify where imaging workflows fail: unclear orders, missing clinical context, delayed authorization, protocol mismatch, and repeated scheduling friction.
AI-Assisted Clinical Explanation
Explain why an exam, protocol, or quantitative finding needs specific documentation while keeping human review in control.
Clinical AI Dashboard
A platform-level dashboard for order-review activity, PET quantitative confidence, response-tracking trends, and operational insights.
Roadmap from lab to platform
Each lab idea must move through clinical usefulness, workflow fit, safety review, and platform integration before it becomes part of OraDigit's core product experience.
Unify the platform shell
Shared header, footer, navigation, consistent page structure, and common branding across OraDigit tools.
Strengthen RadOrder Helper and OraQuant
Improve clinical usability, rule quality, structured output, and integration with future analytics.
Advance PET Response Tracker
Add stronger longitudinal response summaries, confidence context, and future PERCIST-aligned workflow.
Clinical concordance and dashboard analytics
Compare clinical interpretations, report variation, workflow trends, and operational intelligence across cases.
How we judge lab work
OraDigit Labs prioritizes tools that are practical, safe, explainable, and useful to real imaging workflows.
Interested in testing a clinical AI workflow?
OraDigit Labs is open to focused pilot conversations with imaging teams, clinics, and research partners who want practical AI support for real workflow problems.
Last updated: 2026-06-19