Learning & Assessment

A modern learning and scoring platform for diagnostic imaging

AR includes a purpose-built learning and assessment platform designed for diagnostic imaging education — supporting learners, educators, and training programs with structured feedback, objective scoring, and auditable outcomes.

Unlike generic learning management systems, AR's learning tools are deeply integrated into real diagnostic workflows. Learners interpret real studies, generate structured reports, and receive meaningful feedback based on both clinical content and measurable accuracy.

Learning and Assessment for diagnostic imaging

Built for everyone in the learning journey

01

Designed for learners

AR allows learners to practice and be assessed using real-world diagnostic studies, not simplified simulations.

Learners can:

  • Interpret full diagnostic imaging studies
  • Complete structured reports using the same tools used in clinical practice
  • Practice independently or complete formal assessments
  • Receive objective, consistent scoring aligned to defined criteria
  • Track progress over time across cases and competencies

The platform supports both practice mode and exam mode, ensuring learners can train while still working in an authentic environment.

Medical learner studying diagnostic imaging
02

Built for educators

Educators and supervisors gain visibility into learner performance without adding administrative burden.

Educators can:

  • Review learner reports alongside the reference (gold standard) interpretation
  • See structured scoring breakdowns rather than subjective pass/fail outcomes
  • Identify strengths, gaps, and recurring errors across learners
  • Provide targeted feedback efficiently
  • Ensure consistency across multiple assessors and sites

Because scoring is automated and standardized, educators spend less time marking and more time teaching.

Medical educator providing feedback
03

Objective, multi-layered scoring

AR uses a multi-pass scoring approach that reflects how diagnostic competence is actually assessed.

Scoring can include:

  • Content accuracy (key findings present or absent)
  • Completeness of required report elements
  • Consistency with expected diagnostic language
  • Measurement validity, where applicable
  • Section-level and overall performance summaries

This structured approach reduces subjectivity and helps ensure fairness across learners and cohorts.

Objective scoring of diagnostic reports
04

Practice and exam workflows

AR supports both formative learning and high-stakes assessment.

Programs can:

  • Assign curriculum cases for guided learning
  • Deliver timed exams using controlled workflows
  • Lock reports on submission for exam integrity
  • Automatically score completed exams
  • Generate defensible assessment records
Medical exam workflow
05

Built on recognized standards

AR's learning and assessment tools align with widely recognized frameworks for competency-based education and interoperable clinical data:

  • Competency-based training principles (e.g., CanMEDS, ASE, CSE)
  • Clinical imaging and reporting standards (e.g., DICOM)
  • Structured clinical data exchange standards (e.g., HL7 FHIR)
Medical standards and accreditation

Scales from individuals to institutions

Role-based access ensures learners, educators, and administrators see exactly what they need — and nothing they shouldn't.

Individual learners

Practice independently at your own pace with real diagnostic cases.

Academic training programs

Deliver structured curriculum with defensible assessment records.

Hospital-based education departments

Support departmental training with structured workflows and audit trails.

Multi-site and multi-tenant organizations

Ensure consistency across multiple assessors, departments, and sites.


Transparent feedback and auditability

Transparent feedback and auditability

Every learner action and scoring outcome is recorded.

This provides:

  • Full audit trails for assessments
  • Clear documentation for accreditation and program review
  • Defensible records for progression decisions
  • Transparency for learners reviewing their performance

Nothing is overwritten or silently changed — results remain traceable and reviewable.


No duplicate systems to maintain

Learning and scoring are part of the same platform used for clinical reporting.

No artificial training interfaces

Learners work in the same environment used for real clinical reporting.

No context switching between "learning" and "real work"

The platform is the same — only the supervision level changes.

A smoother transition from training to independent practice

No relearning required when moving from training to clinical work.


See it in action

If you're responsible for training, assessment, or credentialing in diagnostic imaging, we'd be happy to show you how AR supports learning without compromising clinical workflows.