Connected modules.
Confident execution.
Explore the capabilities that bring data, models and clinical expertise into a seamless validation workflow—built for rigorous evidence and regulatory review.
Data & lineage
Explore dataset organization, access and lineage before annotation and evaluation.
Presented by Enes Hosgor · 6:00
In this walkthrough
- Find datasets by clinical and technical metadata.
- Inspect studies and images alongside dataset details and permissions.
- Connect the selected data to annotation projects and validation workflows.
Clinical annotation
Follow an expert annotation project from assignments to image review and label history.
Presented by Sumir Patel · 4:24
In this walkthrough
- Configure modality, assignment mode, roles and label sets.
- Inspect completion, segmentation previews and review progress.
- Connect annotations to model comparison and a subsequent evaluation.
Expert reference & adjudication
See how expert assignments, disagreement and adjudication connect to a traceable reference standard.
Presented by Sumir Patel · 3:40
In this walkthrough
- Separate sponsor, reader, review and quality roles.
- Examine reader agreement and target disagreements for adjudication.
- Retain the rationale and version history behind the reference labels.
Models & versions
Understand which model, interface and execution context produced an evaluation result.
Presented by Enes Hosgor · 6:11
In this walkthrough
- Register a customer model or supported third-party or open-source model with its inputs, outputs and execution settings.
- Run inference on the selected cohort; use outputs for validation or optional expert-reviewed pre-annotation.
- Maintain the model-version and configuration context behind results as products evolve.
Clinical validation
Follow a validation run from the model and dataset to the expert reference, configuration and results.
Presented by Enes Hosgor · 4:45
In this walkthrough
- View run status and filter by model, dataset, date or user.
- Keep the evaluated model version, dataset, annotation source and configuration together.
- Compare versions and inspect subgroup performance with its supporting context.
A closer look at validation.
Two original interface recordings from the Validation Module walkthrough: validation management and study setup.
These short clips are separate from the full narrated walkthroughs above.
What does your AI
need to prove?
Start with the product, milestone and evidence question.